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This book was written for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data. It presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. This foundation was designed for a distributed computing environment (Internet, Intranet, client-server), with special attention given to conserving computer code and system resources. While the tangible result of this work is a Java production graphics library (GPL) developed in collaboration with Dan Rope and Dan Carr, this book focuses on the deep structures involved in producing quantitative graphics from data. What are the rules that underly the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, radar charts? These rules are abstracted from the work of Bertin, Cleveland, Kosslyn, MacEachren, Pinker, Tufte, Tukey, Tobler, and other theorists of quantitative graphics. Those less interested in the theoretical and mathematical foundations can still get a sense of the richness and structure of the system by examining the numerous and often unique color graphics it can produce. Leland Wilkinson is Senior VP, SYSTAT Products at SPSS Inc. and Adjunct Professor of Statistics at Northwestern University. He wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. Wilkinson joined SPSS in a 1994 acquisition and now works on research and development of graphical applications for data mining and statistics. He is a Fellow of the ASA and an Associate Editor of The American Statistician. In addition to journal articles and theoriginal SYSTAT computer program and manuals, Wilkinson is the author (with Grant Blank and Chris Gruber) of Desktop Data Analysis with SYSTAT.
Dashboards have become popular in recent years as uniquely powerful tools for communicating important information at a glance. Although dashboards are potentially powerful, this potential is rarely realized. The greatest display technology in the world won't solve this if you fail to use effective visual design. And if a dashboard fails to tell you precisely what you need to know in an instant, you'll never use it, even if it's filled with cute gauges, meters, and traffic lights. Don't let your investment in dashboard technology go to waste. This book will teach you the visual design skills you need to create dashboards that communicate clearly, rapidly, and compellingly. Information Dashboard Design will explain how to: Avoid the thirteen mistakes common to dashboard design Provide viewers with the information they need quickly and clearly Apply what we now know about visual perception to the visual presentation of information Minimize distractions, cliches, and unnecessary embellishments that create confusion Organize business information to support meaning and usability Create an aesthetically pleasing viewing experience Maintain consistency of design to provide accurate interpretation Optimize the power of dashboard technology by pairing it with visual effectiveness Stephen Few has over 20 years of experience as an IT innovator, consultant, and educator. As Principal of the consultancy Perceptual Edge, Stephen focuses on data visualization for analyzing and communicating quantitative business information. He provides consulting and training services, speaks frequently at conferences, and teaches in the MBA program at the University of California in Berkeley. He is also the author of Show Me the Numbers: Designing Tables and Graphs to Enlighten. Visit his website at www.perceptualedge.com.
Provides information on the features and functions of Reporting Services to turn enterprise data into a variety of reports.
The Definitive Guide to Microsoft SQL Server 2008 Reporting Services Create and deliver data-rich reports across the enterprise using this complete server-based reporting solution. Written by a member of the original Reporting Services development team, Microsoft SQL Server 2008 Reporting Services covers the entire report-building and distribution process, including data extraction, integration with desktop and Web applications, and end-user access. The book explains how to maximize all of the powerful features, including the new Tablix data format, as well as enhanced performance, scalability, and visualization capabilities. Install, configure, and customize SQL Server 2008 Reporting Services Create SELECT queries to extract data Generate reports from the Report Wizard and from scratch Add charts, images, and gauges Build reusable report templates Use the new Tablix data format to create reports with any structure Export reports to Word, Excel, PDF, HTML, XML, and other formats Enable end-user access to reports via the Report Server and its Report Manager web interface
The book "Practical C# Charts and Graphics - Advanced Chart and Graphics Programming for Real-World .NET Applications" privides all the tools you need to create professional C# chart and graphics applications For .NET developers, creating professional charts and graphics in your C# applications is now easier than ever before. Practical C# Charts and Graphics is the perfect guide to learning all the basics for creating your advanced chart and graphics applications in C#. The book clearly explains practical chart and graphics methods and their underlying algorithms. The book contains: - Overview of GDI+ graphics capabilities and mathematical basics of computer charting and graphics - Step-by-step procedures to create a variety of 2D and 3D charts and graphics with complete ready-to-run C# code for each application - Powerful 2D and 3D chart packages and user controls that can be directly used in your C# applications or can be easily modified to create your own sophisticated chart and graphics packages. - Detailed procedures to create C# spreadsheet-like chart and graphics applications - Introductions for how to use Microsoft's Excel charts in your C# applications
We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts discusses turning many types of small data sources into useful visual data. And, you will learn Python as part of the bargain. What you’ll learn Write ten lines of code and present visual information instead of data soup. Set up an open source environment ready for data visualization. Forget Excel: use Python. Learn numerical and textual processing. Draw graphs and plots based on textual and numerical data. Learn how to deal with images. Who this book is for IT personnel, programmers, engineers, and hobbyists interested in acquiring and displaying data from the Web, sensors, economic trends, and even astronomical sources.
Derek L. Hansen, Ben Schneiderman, Marc A. Smith
"Analyzing Social Media Networks with NodeXL provides a much needed resource for the social media research community, as it describes network theory, provides compelling examples using data sources like Twitter and Flickr, and highlights how to use a free sophisticated tool for analysis. This is the perfect book for anyone trying to analyze the behavior of online social networks and beyond." ---Adam Perer, Research Scientist, IBM Research "This book provides a basic introduction to social network analysis, followed by practical instruction and examples on gathering data from online sources, importing into Excel, and then analyzing the data through Excel. The book will be important for promoting research in the area for those in information science, sociology, cultural studies, virtual community, and e-commerce."---Caroline Haythornthwaite, PhD, Professor, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools - NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world.