Multidimensional Data Visualization

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Publisher : Springer Science & Business Media
ISBN 13 : 1441902368
Total Pages : 252 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Multidimensional Data Visualization by : Gintautas Dzemyda

Download or read book Multidimensional Data Visualization written by Gintautas Dzemyda and published by Springer Science & Business Media. This book was released on 2012-11-08 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

The Grammar of Graphics

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Publisher : Springer Science & Business Media
ISBN 13 : 1475731000
Total Pages : 415 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis The Grammar of Graphics by : Leland Wilkinson

Download or read book The Grammar of Graphics written by Leland Wilkinson and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. It was designed for a distributed computing environment, with special attention given to conserving computer code and system resources. While the tangible result of this work is a Java production graphics library, the text focuses on the deep structures involved in producing quantitative graphics from data. It investigates the rules that underlie pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts. These rules are abstracted from the work of Bertin, Cleveland, Kosslyn, MacEachren, Pinker, Tufte, Tukey, Tobler, and other theorists of quantitative graphics.

Multidimensional Data Visualization

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Publisher : Springer
ISBN 13 : 9781489990006
Total Pages : 0 pages
Book Rating : 4.9/5 (9 download)

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Book Synopsis Multidimensional Data Visualization by : Gintautas Dzemyda

Download or read book Multidimensional Data Visualization written by Gintautas Dzemyda and published by Springer. This book was released on 2014-12-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

Statistical Graphics for Visualizing Multivariate Data

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Author :
Publisher : SAGE
ISBN 13 : 9780761908999
Total Pages : 116 pages
Book Rating : 4.9/5 (89 download)

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Book Synopsis Statistical Graphics for Visualizing Multivariate Data by : William G. Jacoby

Download or read book Statistical Graphics for Visualizing Multivariate Data written by William G. Jacoby and published by SAGE. This book was released on 1998-02-06 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jacoby explores a variety of graphical displays that are useful for visualising multivariate data, and introduces the concept of a 'data space'. Several methods for coding information directly into the plotting symbols are explained.

Python Data Science Handbook

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491912138
Total Pages : 743 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Python Data Science Handbook by : Jake VanderPlas

Download or read book Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Data Visualization

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Publisher : Springer Science & Business Media
ISBN 13 : 1461511771
Total Pages : 445 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Data Visualization by : Frits H. Post

Download or read book Data Visualization written by Frits H. Post and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: -Visualization Algorithms and Techniques; -Volume Visualization; -Information Visualization; -Multiresolution Techniques; -Interactive Data Exploration. Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization. Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.

Visualization of Categorical Data

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Publisher : Academic Press
ISBN 13 : 9780080543628
Total Pages : 594 pages
Book Rating : 4.5/5 (436 download)

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Book Synopsis Visualization of Categorical Data by : Jörg Blasius

Download or read book Visualization of Categorical Data written by Jörg Blasius and published by Academic Press. This book was released on 1998-02-09 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique and timely monograph, Visualization of Categorical Data contains a useful balance of theoretical and practical material on this important new area. Top researchers in the field present the books four main topics: visualization, correspondence analysis, biplots and multidimensional scaling, and contingency table models. This volume discusses how surveys, which are employed in many different research areas, generate categorical data. It will be of great interest to anyone involved in collecting or analyzing categorical data. * Correspondence Analysis * Homogeneity Analysis * Loglinear and Association Models * Latent Class Analysis * Multidimensional Scaling * Cluster Analysis * Ideal Point Discriminant Analysis * CHAID * Formal Concept Analysis * Graphical Models

Lattice

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Publisher : Springer Science & Business Media
ISBN 13 : 0387759697
Total Pages : 268 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Lattice by : Deepayan Sarkar

Download or read book Lattice written by Deepayan Sarkar and published by Springer Science & Business Media. This book was released on 2008-02-15 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by the author of the lattice system, this book describes lattice in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with lattice is required to read the book, although basic familiarity with R is assumed. The book contains close to 150 figures produced with lattice. Many of the examples emphasize principles of good graphical design; almost all use real data sets that are publicly available in various R packages. All code and figures in the book are also available online, along with supplementary material covering more advanced topics.

Cloud Computing, Big Data & Emerging Topics

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Publisher : Springer Nature
ISBN 13 : 3030848256
Total Pages : 208 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Cloud Computing, Big Data & Emerging Topics by : Marcelo Naiouf

Download or read book Cloud Computing, Big Data & Emerging Topics written by Marcelo Naiouf and published by Springer Nature. This book was released on 2021-08-15 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the 9th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2021, held in La Plata, Argentina*, in June 2021. The 12 full papers and 2 short papers presented were carefully reviewed and selected from a total of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and mobile computing; visualization.. *The conference was held virtually due to the COVID-19 pandemic.

Handbook of Data Visualization

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Publisher : Springer Science & Business Media
ISBN 13 : 3540330372
Total Pages : 936 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Handbook of Data Visualization by : Chun-houh Chen

Download or read book Handbook of Data Visualization written by Chun-houh Chen and published by Springer Science & Business Media. This book was released on 2007-12-18 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Image-Based Visualization

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627058389
Total Pages : 131 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Image-Based Visualization by : Christophe Hurter

Download or read book Image-Based Visualization written by Christophe Hurter and published by Morgan & Claypool Publishers. This book was released on 2015-12-01 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our society has entered a data-driven era, one in which not only are enormous amounts of data being generated daily but there are also growing expectations placed on the analysis of this data. Some data have become simply too large to be displayed and some have too short a lifespan to be handled properly with classical visualization or analysis methods. In order to address these issues, this book explores the potential solutions where we not only visualize data, but also allow users to be able to interact with it. Therefore, this book will focus on two main topics: large dataset visualization and interaction. Graphic cards and their image processing power can leverage large data visualization but they can also be of great interest to support interaction. Therefore, this book will show how to take advantage of graphic card computation power with techniques called GPGPUs (general-purpose computing on graphics processing units). As specific examples, this book details GPGPU usages to produce fast enough visualization to be interactive with improved brushing techniques, fast animations between different data representations, and view simplifications (i.e. static and dynamic bundling techniques). Since data storage and memory limitation is less and less of an issue, we will also present techniques to reduce computation time by using memory as a new tool to solve computationally challenging problems. We will investigate innovative data processing techniques: while classical algorithms are expressed in data space (e.g. computation on geographic locations), we will express them in graphic space (e.g., raster map like a screen composed of pixels). This consists of two steps: (1) a data representation is built using straightforward visualization techniques; and (2) the resulting image undergoes purely graphical transformations using image processing techniques. This type of technique is called image-based visualization. The goal of this book is to explore new computing techniques using image-based techniques to provide efficient visualizations and user interfaces for the exploration of large datasets. This book concentrates on the areas of information visualization, visual analytics, computer graphics, and human-computer interaction. This book opens up a whole field of study, including the scientific validation of these techniques, their limitations, and their generalizations to different types of datasets.

Parallel Coordinates

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Publisher : Springer Science & Business Media
ISBN 13 : 0387686282
Total Pages : 571 pages
Book Rating : 4.3/5 (876 download)

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Book Synopsis Parallel Coordinates by : Alfred Inselberg

Download or read book Parallel Coordinates written by Alfred Inselberg and published by Springer Science & Business Media. This book was released on 2009-08-15 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is one book that can genuinely be said to be straight from the horse’s mouth. Written by the originator of the technique, it examines parallel coordinates as the leading methodology for multidimensional visualization. Starting from geometric foundations, this is the first systematic and rigorous exposition of the methodology's mathematical and algorithmic components. It covers, among many others, the visualization of multidimensional lines, minimum distances, planes, hyperplanes, and clusters of "near" planes. The last chapter explains in a non-technical way the methodology's application to visual and automatic data mining. The principles of the latter, along with guidelines, strategies and algorithms are illustrated in detail on real high-dimensional datasets.

The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures

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Publisher : W. W. Norton & Company
ISBN 13 : 039360974X
Total Pages : 153 pages
Book Rating : 4.3/5 (936 download)

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Book Synopsis The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures by : Dona M. Wong

Download or read book The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures written by Dona M. Wong and published by W. W. Norton & Company. This book was released on 2013-12-16 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive guide to the graphic presentation of information. In today’s data-driven world, professionals need to know how to express themselves in the language of graphics effectively and eloquently. Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn: to choose the best chart that fits your data; the most effective way to communicate with decision makers when you have five minutes of their time; how to chart currency fluctuations that affect global business; how to use color effectively; how to make a graphic “colorful” even if only black and white are available. The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.

Method and System for Multidimensional Data Visualization

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Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659334702
Total Pages : 52 pages
Book Rating : 4.3/5 (347 download)

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Book Synopsis Method and System for Multidimensional Data Visualization by : Dmitri EIdenzon

Download or read book Method and System for Multidimensional Data Visualization written by Dmitri EIdenzon and published by LAP Lambert Academic Publishing. This book was released on 2013-01 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualization of a system state as a whole suggests reflection of all variables together on one "integral" image. This applies to both static and dynamic systems changing its state over time. Maximum number of dimensions reflected on an image is limited by dimensionality of the presentation tools like a sheet of paper or computer screen. Therefore, to visualize a static state dimensionality of an image cannot exceed three and, in the case of dynamic data, only two dimensions given that one of them is needed to show time. A method and software system that fulfill the above requirements are described in detail in this publication.

Data Visualization

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Author :
Publisher : Springer Nature
ISBN 13 : 9811522820
Total Pages : 179 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Data Visualization by : S. Margret Anouncia

Download or read book Data Visualization written by S. Margret Anouncia and published by Springer Nature. This book was released on 2020-03-03 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates.

Interactive Web-Based Data Visualization with R, plotly, and shiny

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Author :
Publisher : CRC Press
ISBN 13 : 0429824203
Total Pages : 278 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Interactive Web-Based Data Visualization with R, plotly, and shiny by : Carson Sievert

Download or read book Interactive Web-Based Data Visualization with R, plotly, and shiny written by Carson Sievert and published by CRC Press. This book was released on 2020-01-30 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web programming. Through many R code examples, you will learn how to tap the extensive functionality of these tools to enhance the presentation and exploration of data. By mastering these concepts and tools, you will impress your colleagues with your ability to quickly generate more informative, engaging, and reproducible interactive graphics using free and open source software that you can share over email, export to pdf, and more. Key Features: Convert static ggplot2 graphics to an interactive web-based form Link, animate, and arrange multiple plots in standalone HTML from R Embed, modify, and respond to plotly graphics in a shiny app Learn best practices for visualizing continuous, discrete, and multivariate data Learn numerous ways to visualize geo-spatial data This book makes heavy use of plotly for graphical rendering, but you will also learn about other R packages that support different phases of a data science workflow, such as tidyr, dplyr, and tidyverse. Along the way, you will gain insight into best practices for visualization of high-dimensional data, statistical graphics, and graphical perception. The printed book is complemented by an interactive website where readers can view movies demonstrating the examples and interact with graphics.

Principal Manifolds for Data Visualization and Dimension Reduction

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Publisher : Springer Science & Business Media
ISBN 13 : 3540737502
Total Pages : 361 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Principal Manifolds for Data Visualization and Dimension Reduction by : Alexander N. Gorban

Download or read book Principal Manifolds for Data Visualization and Dimension Reduction written by Alexander N. Gorban and published by Springer Science & Business Media. This book was released on 2007-09-11 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering algorithms, principal manifolds and SOM. New approaches to NLPCA, principal manifolds, branching principal components and topology preserving mappings are described. Presentation of algorithms is supplemented by case studies. The volume ends with a tutorial PCA deciphers genome.