This book contains the revised selected papers of 4 workshops held in conjunction with the International Conference on High Performance Computing, Networking, Storage and Analysis (SC) in November 2017 in Denver, CO, USA, and in November 2018 in Dallas, TX, USA: the 6th and 7th International Workshop on Extreme-Scale Programming Tools, ESPT 2017 and ESPT 2018, and the 4th and 5th International Workshop on Visual Performance Analysis, VPA 2017 and VPA 2018. The 11 full papers of ESPT 2017 and ESPT 2018 and the 6 full papers of VPA 2017 and VPA 2018 were carefully reviewed and selected for inclusion in this book. The papers discuss the requirements for exascale-enabled tools as well as new approaches of applying visualization and visual analytic techniques to large-scale applications. Topics of interest include: programming tools; methodologies for performance engineering; tool technologies for extreme-scale challenges (e.g., scalability, resilience, power); tool support for accelerated architectures and large-scale multi-cores; tool infrastructures and environments; evolving/future application requirements for programming tools and technologies; application developer experiences with programming and performance tools; scalable displays of performance data; case studies demonstrating the use of performance visualization in practice; data models to enable scalable visualization; graph representation of unstructured performance data; presentation of high-dimensional data; visual correlations between multiple data sources; human-computer interfaces for exploring performance data; and multi-scale representations of performance data for visual exploration.
Discusses data-driven organizations and explains the analytics value chain to adopt when building predictive business models, covering such topics as data quality, privacy and ethics, statistical and visualization tools, and data-driven culture.
Based on course notes of SIGGRAPH course teaching techniques for real-time rendering of volumetric data and effects; covers both applications in scientific visualization and real-time rendering. Starts with the basics (texture-based ray casting) and then improves and expands the algorithms incrementally. Book includes source code, algorithms, diagrams, and rendered graphics.
In The Functional Art, instructor Alberto Cairo explains how information graphics and visualizations are cognitive tools that extend our perception and how we can use them to see beyond lists of numbers, variables, and phenomena to identify patterns and trends that would be invisible otherwise. The book also includes a DVD-ROM containing 90+ minutes of video tutorials that expand on the concepts explained in the book as well as exercises that viewers can use to put their newly found skills to the test. Product Description Unlike any time before in our lives, we have access to vast amounts of free information. With the right tools, we can start to make sense of all this data to see patterns and trends that would otherwise be invisible to us. By transforming numbers into graphical shapes, we allow readers to understand the stories those numbers hide. In this practical introduction to understanding and using information graphics, you´ll learn how to use data visualizations as tools to see beyond lists of numbers and variables and achieve new insights into the complex world around us. Regardless of the kind of data you´re working with-business, science, politics, sports, or even your own personal finances-this book will show you how to use statistical charts, maps, and explanation diagrams to spot the stories in the data and learn new things from it. You´ll also get to peek into the creative process of some of the world´s most talented designers and visual journalists, including Condé Nast Traveler´s John Grimwade , National Geographic Magazine´s Fernando Baptista, The New York Times´ Steve Duenes, The Washington Post´s Hannah Fairfield, Hans Rosling of the Gapminder Foundation, Stanford´s Geoff McGhee, and European superstars Moritz Stefaner, Jan Willem Tulp, Stefanie Posavec, and Gregor Aisch. The book also includes a DVD-ROM containing over 90 minutes of video lessons that expand on core concepts explained within the book and includes even more inspirational information graphics from the world´s leading designers. The first book to offer a broad, hands-on introduction to information graphics and visualization, The Functional Art reveals: . Why data visualization should be thought of as ´´functional art´´ rather than fine art . How to use color, type, and other graphic tools to make your information graphics more effective, not just better looking . The science of how our brains perceive and remember information . Best practices for creating interactive information graphics . A comprehensive look at the creative process behind successful information graphics . An extensive gallery of inspirational work from the world´s top designers and visual artists On the DVD-ROM: In this introductory video course on information graphics, Alberto Cairo goes into greater detail with even more visual examples of how to create effective information graphics that function as practical tools for aiding perception. You´ll learn how to: incorporate basic design principles in your visualizations, create simple interfaces for interactive graphics, and choose the appropriate type of graphic forms for your data. Cairo also deconstructs successful information graphics from The New York Times and National Geographic magazine with sketches and images not shown in the book. Introduction - What Infographics and Visualizations Are PART 1 - Foundations Chapter 1 - Why Visualization - From Data to Wisdom Chapter 2 - Form and Function - Visualization as a Technology Chapter 3 - The Beauty Paradox - Art and Communication Efficacy Chapter 4 - Exposition, Exploration, And the Complexity Challenge PART 2 - History Chapter 5 - Here Be Dragons - On the Origins of Maps Chapter 6 - Lights of Reason - the Dawn of Scientific Illustration Chapter 7 - A Scottish Engineer And a Century of Revolutions - the History of Charts PART 3 - Cognition Chapter 8 - The Eye and the Visual Brain Chapter 9 - Non-sensed Perception Chapter 10 - Images in the Brain PART 4 - Practice Chapter 11 - The Creation Process in Infographics and Visualization Chapter 12 - Interactive Graphics and Visualization APPENDIX - Projects from leading practitioners in the field, explained in detail In The Functional Art, instructor Alberto Cairo explains how information graphics and visualizations are cognitive tools that extend our perception and how we can use them to see beyond lists of numbers, variables, and phenomena to identify patterns and trends that would be invisible otherwise. The book
If you?re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You?ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports. Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop. * Get started quickly with an R tutorial and hundreds of examples * Explore R syntax, objects, and other language details * Find thousands of user-contributed R packages online, including Bioconductor * Learn how to use R to prepare data for analysis * Visualize your data with R?s graphics, lattice, and ggplot2 packages * Use R to calculate statistical fests, fit models, and compute probability distributions * Speed up intensive computations by writing parallel R programs for Hadoop * Get a complete desktop reference to R
Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization. Security has become a ´´big data´´ problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you´ll need to know how to think like a data scientist. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis. You´ll learn how to: - Analyze malware using static analysis - Observe malware behavior using dynamic analysis - Identify adversary groups through shared code analysis - Catch 0-day vulnerabilities by building your own machine learning detector - Measure malware detector accuracy - Identify malware campaigns, trends, and relationships through data visualization Whether you´re a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve.