A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.

Forget Apple and IBM. For that matter forget Silicon Valley. The first personal computer, a self-contained unit with its own programmable processor, display, keyboard, internal memory, telephone interface, and mass storage of data was born in San Antonio TX. US Patent number 224,415 was filed November 27, 1970 for a machine that is the direct lineal ancestor to the PC as we know it today. The story begins in 1968, when two Texans, Phil Ray and Gus Roche, founded a firm called Computer Terminal Corporation. As the name implies their first product was a Datapoint 3300 computer terminal replacement for a mechanical Teletype. However, they knew all the while that the 3300 was only a way to get started, and it was cover for what their real intentions were - to create a programmable mass-produced desktop computer. They brought in Jack Frassanito, Vic Poor, Jonathan Schmidt, Harry Pyle and a team of designers, engineers and programmers to create the Datapoint 2200. In an attempt to reduce the size and power requirement of the computer it became apparent that the 2200 processor could be printed on a silicon chip. Datapoint approached Intel who rejected the concept as a "dumb idea" but were willing to try for a development contract. Intel belatedly came back with their chip but by then the Datapoint 2200 was already in production. Intel added the chip to its catalog designating it the 8008. A later upgrade, the 8080 formed the heart of the Altair and IMSI in the mid-seventies. With further development it was used in the first IBM PC-the PC revolution's chip dynasty. If you're using a PC, you're using a modernized Datapoint 2000.

Explore the world of the hit game through the eyes of the lovable robot, Pathfinder, as he chronicles his journey throughout the various environs of the Outlands to interview his fellow Legends -- all in the hope of finally locating his mysterious creator. The rich history of Apex Legends is explained by the characters that helped to shape it, as are their unique bonds of competition and camaraderie.

"Domain-Driven Design" incorporates numerous examples in Java-case studies taken from actual projects that illustrate the application of domain-driven design to real-world software development.

Today, a hurricane is forming, and businesses are headed straight into it. This hurricane is arising from the convergence of several enormous trends in information technology, including cloud, mobility, Software as a Service, and Big Data. In Inflection Point, Scott Stawski shows how to harness these fierce winds of change, put them at your back, and sail towards greater competitiveness and customer value. Stawski explains the strategic implications of today’s new technology paradigms, helping you reshape strategy to embrace and profit from them. You’ll discover how technology and other factors are driving a radical new round of disintermediation, reintermediation, and disruption–and what that means to you and your company. Stawski shows how to go beyond inadequate incremental improvements, dramatically reducing IT spend and virtually eliminating IT capital expenditures. One meaningful step at a time, you’ll learn how to transform Operational IT into both a utility and a true business enabler, bringing new speed, flexibility, and focus to what really matters: your true core competencies. BUILD A CONTINUAL TRANSFORMATION ENVIRONMENT THAT’S READY FOR ANYTHING Focus on high-value core competencies, not fixed assets or unchanging processes CONSUME IT THE WAY YOU CONSUME ELECTRICITY Stop running data centers, buying software, and managing applications–forever! LEVERAGE THE CLOUD’S SIMPLICITY WITHOUT LOSING CONTROL OR SECURITY Use standards and governance to maximize cloud benefits with minimal risk HARNESS THE PRECIOUS ASSET YOU MUST ALWAYS KEEP CLOSE: DATA Build data-centric operations to deliver the right knowledge, right now, wherever it’s needed

Statistical downscaling and bias correction are becoming standard tools in climate impact studies. This book provides a comprehensive reference to widely-used approaches, and additionally covers the relevant user context and technical background, as well as a synthesis and guidelines for practitioners. It presents the main approaches including statistical downscaling, bias correction and weather generators, along with their underlying assumptions, skill and limitations. Relevant background information on user needs and observational and climate model uncertainties is complemented by concise introductions to the most important concepts in statistical and dynamical modelling. A substantial part is dedicated to the evaluation of regional climate projections and their value in different user contexts. Detailed guidelines for the application of downscaling and the use of downscaled information in practice complete the volume. Its modular approach makes the book accessible for developers and practitioners, graduate students and experienced researchers, as well as impact modellers and decision makers.

This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such topics as our present understanding of unsupervised outlier detection in general; distance-based and density-based outlier detection in particular; and the applications of the latest findings to boundary point detection and novel object detection. The book also offers a new perspective on bridging the gap between k-nearest neighbor-based outlier detection and clustering-based outlier detection, laying the groundwork for future advances in unsupervised outlier detection research. The authors hope the algorithms and applications proposed here will serve as valuable resources for outlier detection researchers for years to come.