Handbook of Data Visualization

Author: Chun-houh Chen
Publisher: Springer Science & Business Media
ISBN: 3540330372
Release Date: 2007-12-18
Genre: Computers

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 Visualisation

Author: Andy Kirk
Publisher: SAGE
ISBN: 9781473966314
Release Date: 2016-06-21
Genre: Computers

Voted one of the 'six best books for data geeks' by The Financial Times. Read the review here Lecturers, request your electronic inspection copy Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design. Benefits of this book: A flexible step-by-step journey that equips you to achieve great data visualization A curated collection of classic and contemporary examples, giving illustrations of good and bad practice Examples on every page to give creative inspiration Illustrations of good and bad practice show you how to critically evaluate and improve your own work Advice and experience from the best designers in the field Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available

Data Mining and Data Visualization

Author:
Publisher: Elsevier
ISBN: 0080459404
Release Date: 2005-05-02
Genre: Mathematics

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights

Visualization Handbook

Author: Charles D. Hansen
Publisher: Academic Press
ISBN: 9780080481647
Release Date: 2011-08-30
Genre: Computers

The Visualization Handbook provides an overview of the field of visualization by presenting the basic concepts, providing a snapshot of current visualization software systems, and examining research topics that are advancing the field. This text is intended for a broad audience, including not only the visualization expert seeking advanced methods to solve a particular problem, but also the novice looking for general background information on visualization topics. The largest collection of state-of-the-art visualization research yet gathered in a single volume, this book includes articles by a “who’s who of international scientific visualization researchers covering every aspect of the discipline, including: · Virtual environments for visualization · Basic visualization algorithms · Large-scale data visualization · Scalar data isosurface methods · Visualization software and frameworks · Scalar data volume rendering · Perceptual issues in visualization · Various application topics, including information visualization. * Edited by two of the best known people in the world on the subject; chapter authors are authoritative experts in their own fields; * Covers a wide range of topics, in 47 chapters, representing the state-of-the-art of scientific visualization.

Allgemeinbildung in Deutschland

Author: Sabine Trepte
Publisher: Springer-Verlag
ISBN: 9783531925431
Release Date: 2010-10-21
Genre: Social Science

Über 600.000 Deutsche nahmen am SPIEGEL-Wissenstest "Studenten-Pisa" bei SPIEGEL ONLINE und studiVZ teil, um ihr Allgemeinwissen in den Fachgebieten Politik, Geschichte, Wirtschaft, Naturwissenschaften und Kultur zu testen. Die in der Presse berichteten Ergebnisse sorgten für Überraschung und Bestürzung: Jüngere schnitten deutlich schlechter ab als Ältere, Frauen schlechter als Männer, und insgesamt scheint es eher düster um die Allgemeinbildung der Deutschen zu stehen. Das Buch stellt nun weiterführende Analysen von Autoren aus ganz unterschiedlichen Wissenschaftsdisziplinen vor, die den Datensatz unter verschiedenen Gesichtspunkten analysiert haben: Worauf sind die gefundenen Geschlechtsunterschiede zurückzuführen? Was lässt sich für die Qualität der deutschen Hochschulen schlussfolgern? Wirkt sich regelmäßige Mediennutzung positiv auf die Allgemeinbildung aus?

MATLAB Graphics and Data Visualization Cookbook

Author: Nivedita Majumdar
Publisher: Packt Publishing Ltd
ISBN: 9781849693172
Release Date: 2012-11-23
Genre: Computers

"MATLAB Graphics and Data Visualization Cookbook" will serve as your handbook in recipe format with ample screenshots. Each independent recipe will help you in achieving target-oriented solutions to your problems with concise explanation. For those who are already using MATLAB for their computational needs but need to also harness its powerful visualization capabilities.

Handbook on Data Management in Information Systems

Author: Jacek Błażewicz
Publisher: Springer Science & Business Media
ISBN: 3540438939
Release Date: 2003-07-15
Genre: Computers

The Handbook provides practitioners, scientists and graduate students with a good overview of basic notions, methods and techniques, as well as important issues and trends across the broad spectrum of data management. In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.

R in a Nutshell

Author: Joseph Adler
Publisher: O'Reilly Germany
ISBN: 9783897216501
Release Date: 2010-12-31
Genre: Computers

Wozu sollte man R lernen? Da gibt es viele Gründe: Weil man damit natürlich ganz andere Möglichkeiten hat als mit einer Tabellenkalkulation wie Excel, aber auch mehr Spielraum als mit gängiger Statistiksoftware wie SPSS und SAS. Anders als bei diesen Programmen hat man nämlich direkten Zugriff auf dieselbe, vollwertige Programmiersprache, mit der die fertigen Analyse- und Visualisierungsmethoden realisiert sind – so lassen sich nahtlos eigene Algorithmen integrieren und komplexe Arbeitsabläufe realisieren. Und nicht zuletzt, weil R offen gegenüber beliebigen Datenquellen ist, von der einfachen Textdatei über binäre Fremdformate bis hin zu den ganz großen relationalen Datenbanken. Zudem ist R Open Source und erobert momentan von der universitären Welt aus die professionelle Statistik. R kann viel. Und Sie können viel mit R machen – wenn Sie wissen, wie es geht. Willkommen in der R-Welt: Installieren Sie R und stöbern Sie in Ihrem gut bestückten Werkzeugkasten: Sie haben eine Konsole und eine grafische Benutzeroberfläche, unzählige vordefinierte Analyse- und Visualisierungsoperationen – und Pakete, Pakete, Pakete. Für quasi jeden statistischen Anwendungsbereich können Sie sich aus dem reichen Schatz der R-Community bedienen. Sprechen Sie R! Sie müssen Syntax und Grammatik von R nicht lernen – wie im Auslandsurlaub kommen Sie auch hier gut mit ein paar aufgeschnappten Brocken aus. Aber es lohnt sich: Wenn Sie wissen, was es mit R-Objekten auf sich hat, wie Sie eigene Funktionen schreiben und Ihre eigenen Pakete schnüren, sind Sie bei der Analyse Ihrer Daten noch flexibler und effektiver. Datenanalyse und Statistik in der Praxis: Anhand unzähliger Beispiele aus Medizin, Wirtschaft, Sport und Bioinformatik lernen Sie, wie Sie Daten aufbereiten, mithilfe der Grafikfunktionen des lattice-Pakets darstellen, statistische Tests durchführen und Modelle anpassen. Danach werden Ihnen Ihre Daten nichts mehr verheimlichen.

Building Responsive Data Visualization for the Web

Author: Bill Hinderman
Publisher: John Wiley & Sons
ISBN: 9781119067146
Release Date: 2015-11-02
Genre: Computers

Unchain your data from the desktop with responsive visualizations Building Responsive Data Visualization for the Web is a handbook for any front-end development team needing a framework for integrating responsive web design into the current workflow. Written by a leading industry expert and design lead at Starbase Go, this book provides a wealth of information and practical guidance from the perspective of a real-world designer. You'll walk through the process of building data visualizations responsively as you learn best practices that build upon responsive web design principles, and get the hands-on practice you need with exercises, examples, and source code provided in every chapter. These strategies are designed to be implemented by teams large and small, with varying skill sets, so you can apply these concepts and skills to your project right away. Responsive web design is the practice of building a website to suit base browser capability, then adding features that enhance the experience based on the user's device's capabilities. Applying these ideas to data produces visualizations that always look as if they were designed specifically for the device through which they are viewed. This book shows you how to incorporate these principles into your current practices, with highly practical hands-on training. Examine the hard data surrounding responsive design Master best practices with hands-on exercises Learn data-based document manipulation using D3.js Adapt your current strategies to responsive workflows Data is growing exponentially, and the need to visualize it in any context has become crucial. Traditional visualizations allow important data to become lost when viewed on a small screen, and the web traffic speaks for itself – viewers repeatedly demonstrate their preference for responsive design. If you're ready to create more accessible, take-anywhere visualizations, Building Responsive Data Visualization for the Web is your tailor-made solution.

Comics richtig lesen

Author: Scott McCloud
Publisher: CARLSEN Verlag
ISBN: 9783551748171
Release Date: 2001-04-22
Genre: Humor

»Geschickt als ein leicht lesbarer Comic verkleidet, dekonstruiert Scott McClouds einfach gehaltener Band die geheime Sprache der Comics, während nebenbei Geheimnisse von Zeit, Raum, Kunst und Kosmos enthüllt werden. Der intelligenteste Comic, den ich seit langem gesehen habe. Bravo!« Art Spiegelman

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Author: Raj, Pethuru
Publisher: IGI Global
ISBN: 9781466658653
Release Date: 2014-03-31
Genre: Computers

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Data Visualisation with R

Author: Thomas Rahlf
Publisher: Springer
ISBN: 9783319497518
Release Date: 2017-02-18
Genre: Computers

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 7000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields. This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.

Graphical Data Analysis with R

Author: Antony Unwin
Publisher: CRC Press
ISBN: 9781498786775
Release Date: 2016-04-16
Genre: Mathematics

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

The Handbook of Surface Imaging and Visualization

Author: Arthur T. Hubbard
Publisher: CRC Press
ISBN: 0849389119
Release Date: 1995-08-31
Genre: Science

This exciting new handbook investigates the characterization of surfaces. It emphasizes experimental techniques for imaging of solid surfaces and theoretical strategies for visualization of surfaces, areas in which rapid progress is currently being made. This comprehensive, unique volume is the ideal reference for researchers needing quick access to the latest developments in the field and an excellent introduction to students who want to acquaint themselves with the behavior of electrons, atoms, molecules, and thin-films at surfaces. It's all here, under one cover! The Handbook of Surface Imaging and Visualization is filled with sixty-four of the most powerful techniques for characterization of surfaces and interfaces in the material sciences, medicine, biology, geology, chemistry, and physics. Each discussion is easy to understand, succinct, yet incredibly informative. Data illustrate present research in each area of study. A wide variety of the latest experimental and theoretical approaches are included with both practical and fundamental objectives in mind. Key references are included for the reader's convenience for locating the most recent and useful work on each topic. Readers are encouraged to contact the authors or consult the references for additional information. This is the best ready reference available today. It is a perfect source book or supplemental text on the subject.