Visualization And Verbalization Of Data

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Visualization and Verbalization of Data

Author : Jorg Blasius
Publisher : CRC Press
ISBN 13 : 1466589817
Total Pages : 382 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Visualization and Verbalization of Data by : Jorg Blasius

Download or read book Visualization and Verbalization of Data written by Jorg Blasius and published by CRC Press. This book was released on 2014-04-10 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications.The first part of the book explains

Visualization and Verbalization of Data

Author : Jorg Blasius
Publisher : CRC Press
ISBN 13 : 1466589809
Total Pages : 394 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Visualization and Verbalization of Data by : Jorg Blasius

Download or read book Visualization and Verbalization of Data written by Jorg Blasius and published by CRC Press. This book was released on 2014-04-10 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications. The first part of the book explains the historical origins of correspondence analysis and associated methods. The second part concentrates on the contributions made by the school of Jean-Paul Benzécri and related movements, such as social space and geometric data analysis. Although these topics are viewed from a French perspective, the book makes them understandable to an international audience. Throughout the text, well-known experts illustrate the use of the methods in practice. Examples include the spatial visualization of multivariate data, cluster analysis in computer science, the transformation of a textual data set into numerical data, the use of quantitative and qualitative variables in multiple factor analysis, different possibilities of recoding data prior to visualization, and the application of duality diagram theory to the analysis of a contingency table.

Visualizing and Verbalizing

Author : Nanci Bell
Publisher :
ISBN 13 : 9780945856641
Total Pages : 0 pages
Book Rating : 4.8/5 (566 download)

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Book Synopsis Visualizing and Verbalizing by : Nanci Bell

Download or read book Visualizing and Verbalizing written by Nanci Bell and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develops concept imagery: the ability to create mental representations and integrate them with language. This sensory-cognitive skill underlies language comprehension and higher order thinking for students of all ages.

Correspondence Analysis in Practice, Third Edition

Author : Michael Greenacre
Publisher : CRC Press
ISBN 13 : 1315352958
Total Pages : 571 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Correspondence Analysis in Practice, Third Edition by : Michael Greenacre

Download or read book Correspondence Analysis in Practice, Third Edition written by Michael Greenacre and published by CRC Press. This book was released on 2017-01-20 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms — ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more. Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.

Data Science Foundations

Author : Fionn Murtagh
Publisher : CRC Press
ISBN 13 : 1315350491
Total Pages : 256 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Data Science Foundations by : Fionn Murtagh

Download or read book Data Science Foundations written by Fionn Murtagh and published by CRC Press. This book was released on 2017-09-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of...quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods...a very useful text and I would certainly use it in my teaching." - Mark Girolami, Warwick University Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.

Storytelling with Data

Author : Cole Nussbaumer Knaflic
Publisher : John Wiley & Sons
ISBN 13 : 1119621496
Total Pages : 454 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Storytelling with Data by : Cole Nussbaumer Knaflic

Download or read book Storytelling with Data written by Cole Nussbaumer Knaflic and published by John Wiley & Sons. This book was released on 2019-10-22 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!

Biplots in Practice

Author : Michael J. Greenacre
Publisher : Fundacion BBVA
ISBN 13 : 8492384689
Total Pages : 241 pages
Book Rating : 4.4/5 (923 download)

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Book Synopsis Biplots in Practice by : Michael J. Greenacre

Download or read book Biplots in Practice written by Michael J. Greenacre and published by Fundacion BBVA. This book was released on 2010 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro explica las aplicaciones específicas y las interpretaciones del biplot en muchas áreas del análisis multivariante. regresión, modelos lineales generalizados, análisis de componentes principales, análisis de correspondencias y análisis discriminante.

Advanced Studies in Classification and Data Science

Author : Tadashi Imaizumi
Publisher : Springer Nature
ISBN 13 : 9811533113
Total Pages : 506 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advanced Studies in Classification and Data Science by : Tadashi Imaizumi

Download or read book Advanced Studies in Classification and Data Science written by Tadashi Imaizumi and published by Springer Nature. This book was released on 2020-09-25 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines. In addition to sharing theoretical and methodological findings, the book shows how to apply the proposed methods to a variety of problems — e.g. in consumer behavior, decision-making, marketing data and social network structures. Both methodological aspects and applications to a wide range of areas such as economics, behavioral science, marketing science, management science and the social sciences are covered. The book is chiefly intended for researchers and practitioners who are interested in the latest developments and practical applications in these fields, as well as applied statisticians and data analysts. Its combination of methodological advances with a wide range of real-world applications gathered from several fields makes it of unique value in helping readers solve their research problems.

New Statistical Developments in Data Science

Author : Alessandra Petrucci
Publisher : Springer Nature
ISBN 13 : 3030211584
Total Pages : 479 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis New Statistical Developments in Data Science by : Alessandra Petrucci

Download or read book New Statistical Developments in Data Science written by Alessandra Petrucci and published by Springer Nature. This book was released on 2019-08-20 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”. The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt with here. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role.

The Multiple Facets of Partial Least Squares and Related Methods

Author : Hervé Abdi
Publisher : Springer
ISBN 13 : 3319406434
Total Pages : 316 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis The Multiple Facets of Partial Least Squares and Related Methods by : Hervé Abdi

Download or read book The Multiple Facets of Partial Least Squares and Related Methods written by Hervé Abdi and published by Springer. This book was released on 2016-10-13 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods. The text begins with the invited communications of current leaders in the field who cover the history of PLS, an overview of methodological issues, and recent advances in regression and multi-block approaches. The rest of the volume comprises selected, reviewed contributions from the 8th International Conference on Partial Least Squares and Related Methods held in Paris, France, on 26-28 May, 2014. They are organized in four coherent sections: 1) new developments in genomics and brain imaging, 2) new and alternative methods for multi-table and path analysis, 3) advances in partial least square regression (PLSR), and 4) partial least square path modeling (PLS-PM) breakthroughs and applications. PLS methods are very versatile methods that are now used in areas as diverse as engineering, life science, sociology, psychology, brain imaging, genomics, and business among both academics and practitioners. The selected chapters here highlight this diversity with applied examples as well as the most recent advances.

Analysis of Distributional Data

Author : Paula Brito
Publisher : CRC Press
ISBN 13 : 1498725465
Total Pages : 404 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Analysis of Distributional Data by : Paula Brito

Download or read book Analysis of Distributional Data written by Paula Brito and published by CRC Press. This book was released on 2022-04-27 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a time when increasingly larger and complex data collections are being produced, it is clear that new and adaptive forms of data representation and analysis have to be conceived and implemented. Distributional data, i.e., data where a distribution rather than a single value is recorded for each descriptor, on each unit, come into this framework. Distributional data may result from the aggregation of large amounts of open/collected/generated data, or it may be directly available in a structured or unstructured form, describing the variability of some features. This book provides models and methods for the representation, analysis, interpretation, and organization of distributional data, taking into account its specific nature, and not relying on a reduction to single values, to be conform to classical paradigms. Conceived as an edited book, gathering contributions from multiple authors, the book presents alternative representations and analysis’ methods for distributional data of different types, and in particular, -Uni- and bi-variate descriptive statistics for distributional data -Clustering and classification methodologies -Methods for the representation in low-dimensional spaces -Regression models and forecasting approaches for distribution-valued variables Furthermore, the different chapters -Feature applications to show how the proposed methods work in practice, and how results are to be interpreted, -Often provide information about available software. The methodologies presented in this book constitute cutting-edge developments for stakeholders from all domains who produce and analyse large amounts of complex data, to be analysed in the form of distributions. The book is hence of interest for companies operating not only in the area of data analytics, but also on logistics, energy and finance. It also concerns national statistical institutes and other institutions at European and international level, where microdata is aggregated to preserve confidentiality and allow for analysis at the appropriate regional level. Academics will find in the analysis of distributional data a challenging up-to-date field of research.

Correspondence Analysis in Practice

Author : Michael Greenacre
Publisher : CRC Press
ISBN 13 : 1498731783
Total Pages : 327 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Correspondence Analysis in Practice by : Michael Greenacre

Download or read book Correspondence Analysis in Practice written by Michael Greenacre and published by CRC Press. This book was released on 2017-01-20 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms — ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more. Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.

Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications

Author : Thoralf Reis
Publisher : Springer Nature
ISBN 13 : 303068007X
Total Pages : 213 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications by : Thoralf Reis

Download or read book Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications written by Thoralf Reis and published by Springer Nature. This book was released on 2021-02-02 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020. The 14 regular papers in this volume present topics such as big data collection, management and curation; big data analytics; big data interaction and perception; big data insight and effectuation; configuration and management of big data storage and compute infrastructures, services, and tools; advanced visual interaction in big data applications; user empowerment and meta design in big data applications; prediction and automation of big data analysis workflows; as well as data visualization; information visualization; visual analytics; infographics; and design.

Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018

Author : ConferenceSeries
Publisher : ConferenceSeries
ISBN 13 :
Total Pages : 89 pages
Book Rating : 4./5 ( download)

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Book Synopsis Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018 by : ConferenceSeries

Download or read book Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018 written by ConferenceSeries and published by ConferenceSeries. This book was released on with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: June 20-22, 2018 Rome, Italy Key Topics : Data Mining Applications in Science, Engineering, Healthcare and Medicine, Big Data in Nursing Research, Data Mining and Machine Learning, Big Data Analytics, Optimization and Big Data, Big data technologies, Big Data algorithm, Big Data Applications, Forecasting from Big Data, Data Mining Methods and Algorithms, Artificial Intelligence, Data privacy and ethics, Data Warehousing, Data Mining Tools and Software, Data Mining Tasks and Processes, Data Mining analysis, Cloud computing, Internet of things (IOT), Social network analysis, Complexity and algorithms, Business Analytics, Open data, New visualization techniques, Search and data mining, Frequent pattern mining, Clustering, Others

Multiple Correspondence Analysis and Related Methods

Author : Michael Greenacre
Publisher : CRC Press
ISBN 13 : 1420011316
Total Pages : 607 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Multiple Correspondence Analysis and Related Methods by : Michael Greenacre

Download or read book Multiple Correspondence Analysis and Related Methods written by Michael Greenacre and published by CRC Press. This book was released on 2006-06-23 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the su

Textual Data Science with R

Author : Mónica Bécue-Bertaut
Publisher : CRC Press
ISBN 13 : 1351816357
Total Pages : 171 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Textual Data Science with R by : Mónica Bécue-Bertaut

Download or read book Textual Data Science with R written by Mónica Bécue-Bertaut and published by CRC Press. This book was released on 2019-03-11 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The book will be of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming essential.

Combinatorial Inference in Geometric Data Analysis

Author : Brigitte Le Roux
Publisher : CRC Press
ISBN 13 : 1351651331
Total Pages : 234 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Combinatorial Inference in Geometric Data Analysis by : Brigitte Le Roux

Download or read book Combinatorial Inference in Geometric Data Analysis written by Brigitte Le Roux and published by CRC Press. This book was released on 2019-03-20 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud of points. Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework. It focuses particularly on the comparison of a group of observations to a reference population (combinatorial test) or to a reference value of a location parameter (geometric test), and on problems of homogeneity, that is the comparison of several groups for two basic designs. These methods involve the use of combinatorial procedures to build a reference set in which we place the data. The chosen test statistics lead to original extensions, such as the geometric interpretation of the observed level, and the construction of a compatibility region. Features: Defines precisely the object under study in the context of multidimensional procedures, that is clouds of points Presents combinatorial tests and related computations with R and Coheris SPAD software Includes four original case studies to illustrate application of the tests Includes necessary mathematical background to ensure it is self–contained This book is suitable for researchers and students of multivariate statistics, as well as applied researchers of various scientific disciplines. It could be used for a specialized course taught at either master or PhD level.