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Título : Graphics of Large Datasets : Visualizing a Million Tipo de documento: documento electrónico Autores: Antony Unwin ; SpringerLink (Online service) ; Theus, Martin ; Hofmann, Heike Editorial: New York, NY : Springer New York Fecha de publicación: 2006 Colección: Statistics and Computing, ISSN 1431-8784 Número de páginas: XIII, 271 p Il.: online resource ISBN/ISSN/DL: 978-0-387-37977-7 Idioma : Inglés ( eng)Palabras clave: Mathematics Operations research Decision making Data mining Computer graphics Visualization software Statistics Mathematical Software Statistical Theory and Methods Mining Knowledge Discovery Operation Research/Decision Graphics Clasificación: 51 Matemáticas Resumen: Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. There are considerable advantages in extending displays which are well-known and well-tried, both in understanding how best to make use of them in your work and in presenting results to others. It should also make the book readily accessible for readers who already have a little experience of drawing statistical graphics. All ideas are illustrated with displays from analyses of real datasets and the authors emphasize the importance of interpreting displays effectively. Graphics should be drawn to convey information and the book includes many insightful examples. Antony Unwin holds the Chair of Computer Oriented Statistics and Data Analysis at the University of Augsburg. He has been involved in developing visualization software for twenty years. Martin Theus is a Senior Researcher at the University of Augsburg, has worked in industry and research in both Germany and the USA, and is the author of the visualization software Mondrian. Heike Hofmann is Assistant Professor of Statistics at Iowa State University. She wrote the software MANET and has also cooperated in the development of the GGobi software Nota de contenido: Basics -- Statistical Graphics -- Scaling Up Graphics -- Interacting with Graphics -- Applications -- Multivariate Categorical Data — Mosaic Plots -- Rotating Plots -- Multivariate Continuous Data — Parallel Coordinates -- Networks -- Trees -- Transactions -- Graphics of a Large Dataset En línea: http://dx.doi.org/10.1007/0-387-37977-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34839 Graphics of Large Datasets : Visualizing a Million [documento electrónico] / Antony Unwin ; SpringerLink (Online service) ; Theus, Martin ; Hofmann, Heike . - New York, NY : Springer New York, 2006 . - XIII, 271 p : online resource. - (Statistics and Computing, ISSN 1431-8784) .ISBN: 978-0-387-37977-7

Idioma : Inglés (eng)

Palabras clave: Mathematics Operations research Decision making Data mining Computer graphics Visualization software Statistics Mathematical Software Statistical Theory and Methods Mining Knowledge Discovery Operation Research/Decision Graphics Clasificación: 51 Matemáticas Resumen: Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. There are considerable advantages in extending displays which are well-known and well-tried, both in understanding how best to make use of them in your work and in presenting results to others. It should also make the book readily accessible for readers who already have a little experience of drawing statistical graphics. All ideas are illustrated with displays from analyses of real datasets and the authors emphasize the importance of interpreting displays effectively. Graphics should be drawn to convey information and the book includes many insightful examples. Antony Unwin holds the Chair of Computer Oriented Statistics and Data Analysis at the University of Augsburg. He has been involved in developing visualization software for twenty years. Martin Theus is a Senior Researcher at the University of Augsburg, has worked in industry and research in both Germany and the USA, and is the author of the visualization software Mondrian. Heike Hofmann is Assistant Professor of Statistics at Iowa State University. She wrote the software MANET and has also cooperated in the development of the GGobi software Nota de contenido: Basics -- Statistical Graphics -- Scaling Up Graphics -- Interacting with Graphics -- Applications -- Multivariate Categorical Data — Mosaic Plots -- Rotating Plots -- Multivariate Continuous Data — Parallel Coordinates -- Networks -- Trees -- Transactions -- Graphics of a Large Dataset En línea: http://dx.doi.org/10.1007/0-387-37977-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34839 ## Ejemplares

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Título : Applied Geometry for Computer Graphics and CAD Tipo de documento: documento electrónico Autores: Duncan, Marsh ; SpringerLink (Online service) Editorial: London : Springer London Fecha de publicación: 2005 Colección: Springer Undergraduate Mathematics Series, ISSN 1615-2085 Número de páginas: XV, 350 p Il.: online resource ISBN/ISSN/DL: 978-1-84628-109-9 Idioma : Inglés ( eng)Palabras clave: Computer science graphics Application software Applied mathematics Engineering Geometry Science Applications of Mathematics Graphics Engineering, general Clasificación: 51 Matemáticas Resumen: Focusing on the manipulation and representation of geometrical objects, this book explores the application of geometry to computer graphics and computer-aided design (CAD). An introduction to transformations of the plane and three-dimensional space describes how objects can be constructed from geometric primitives and manipulated. This leads into a treatment of projections and the method of rendering objects on a computer screen by application of the complete viewing operation. Subsequently, the emphasis is on the two principal curve and surface representations, namely, Bézier and B-spline (including NURBS). As in the first edition, applications of the geometric theory are exemplified throughout the book, but new features in this revised and updated edition include: the application of quaternions to computer graphics animation and orientation; discussions of the main geometric CAD surface operations and constructions: extruded, rotated and swept surfaces; offset surfaces; thickening and shelling; and skin and loft surfaces; an introduction to rendering methods in computer graphics and CAD: colour, illumination models, shading algorithms, silhouettes and shadows. Over 300 exercises are included, some new to this edition, and many of which encourage the reader to implement the techniques and algorithms discussed through the use of a computer package with graphing and computer algebra capabilities. A dedicated website also offers further resources and links to other useful websites. Designed for students of computer science and engineering as well as of mathematics, the book provides a foundation in the extensive applications of geometry in real world situations Nota de contenido: Transformations of the Plane -- Homogeneous Coordinates and Transformations of the Plane -- Homogeneous Coordinates and Transformations of Space -- Projections and the Viewing Pipeline -- Curves -- Bézier Curves I -- Bézier Curves II -- B-splines -- Surfaces -- Curve and Surface Curvatures -- Rendering En línea: http://dx.doi.org/10.1007/b138823 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35219 Applied Geometry for Computer Graphics and CAD [documento electrónico] / Duncan, Marsh ; SpringerLink (Online service) . - London : Springer London, 2005 . - XV, 350 p : online resource. - (Springer Undergraduate Mathematics Series, ISSN 1615-2085) .ISBN: 978-1-84628-109-9

Idioma : Inglés (eng)

Palabras clave: Computer science graphics Application software Applied mathematics Engineering Geometry Science Applications of Mathematics Graphics Engineering, general Clasificación: 51 Matemáticas Resumen: Focusing on the manipulation and representation of geometrical objects, this book explores the application of geometry to computer graphics and computer-aided design (CAD). An introduction to transformations of the plane and three-dimensional space describes how objects can be constructed from geometric primitives and manipulated. This leads into a treatment of projections and the method of rendering objects on a computer screen by application of the complete viewing operation. Subsequently, the emphasis is on the two principal curve and surface representations, namely, Bézier and B-spline (including NURBS). As in the first edition, applications of the geometric theory are exemplified throughout the book, but new features in this revised and updated edition include: the application of quaternions to computer graphics animation and orientation; discussions of the main geometric CAD surface operations and constructions: extruded, rotated and swept surfaces; offset surfaces; thickening and shelling; and skin and loft surfaces; an introduction to rendering methods in computer graphics and CAD: colour, illumination models, shading algorithms, silhouettes and shadows. Over 300 exercises are included, some new to this edition, and many of which encourage the reader to implement the techniques and algorithms discussed through the use of a computer package with graphing and computer algebra capabilities. A dedicated website also offers further resources and links to other useful websites. Designed for students of computer science and engineering as well as of mathematics, the book provides a foundation in the extensive applications of geometry in real world situations Nota de contenido: Transformations of the Plane -- Homogeneous Coordinates and Transformations of the Plane -- Homogeneous Coordinates and Transformations of Space -- Projections and the Viewing Pipeline -- Curves -- Bézier Curves I -- Bézier Curves II -- B-splines -- Surfaces -- Curve and Surface Curvatures -- Rendering En línea: http://dx.doi.org/10.1007/b138823 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35219 ## Ejemplares

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Título : ggplot2 : Elegant Graphics for Data Analysis Tipo de documento: documento electrónico Autores: Hadley Wickham ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2009 Colección: Use R Número de páginas: VIII, 213 p Il.: online resource ISBN/ISSN/DL: 978-0-387-98141-3 Idioma : Inglés ( eng)Palabras clave: Statistics Computer graphics Mathematics Visualization and Computing/Statistics Programs Graphics Clasificación: 51 Matemáticas Resumen: This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. Hadley Wickham is an Assistant Professor of Statistics at Rice University, and is interested in developing computational and cognitive tools for making data preparation, visualization, and analysis easier. He has developed 15 R packages and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages Nota de contenido: Getting started with qplot -- Mastering the grammar -- Build a plot layer by layer -- Toolbox -- Scales, axes and legends -- Positioning -- Polishing your plots for publication -- Manipulating data -- Reducing duplication En línea: http://dx.doi.org/10.1007/978-0-387-98141-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33930 ggplot2 : Elegant Graphics for Data Analysis [documento electrónico] / Hadley Wickham ; SpringerLink (Online service) . - New York, NY : Springer New York, 2009 . - VIII, 213 p : online resource. - (Use R) .ISBN: 978-0-387-98141-3

Idioma : Inglés (eng)

Palabras clave: Statistics Computer graphics Mathematics Visualization and Computing/Statistics Programs Graphics Clasificación: 51 Matemáticas Resumen: This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. Hadley Wickham is an Assistant Professor of Statistics at Rice University, and is interested in developing computational and cognitive tools for making data preparation, visualization, and analysis easier. He has developed 15 R packages and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages Nota de contenido: Getting started with qplot -- Mastering the grammar -- Build a plot layer by layer -- Toolbox -- Scales, axes and legends -- Positioning -- Polishing your plots for publication -- Manipulating data -- Reducing duplication En línea: http://dx.doi.org/10.1007/978-0-387-98141-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33930 ## Ejemplares

Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration / SpringerLink (Online service) ; Möller, Torsten ; Hamann, Bernd ; Russell, Robert D (2009)

Título : Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Möller, Torsten ; Hamann, Bernd ; Russell, Robert D Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2009 Colección: Mathematics and Visualization, ISSN 1612-3786 Número de páginas: X, 350 p. 183 illus., 134 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-540-49926-8 Idioma : Inglés ( eng)Palabras clave: Computer science Computers Mathematics graphics Application software mathematics Science Applications Theory of Computation Computational and Numerical Analysis Graphics Computing Engineering Clasificación: 51 Matemáticas Resumen: Visualization is one of the most active and exciting areas of Mathematics and Computing Science, and indeed one which is only beginning to mature. Current visualization algorithms break down for very large data sets. While present approaches use multi-resolution ideas, future data sizes will not be handled that way. New algorithms based on sophisticated mathematical modeling techniques must be devised which will permit the extraction of high-level topological structures that can be visualized. For these reasons a workshop was organized at the Banff International Research Station, focused specifically on mathematical issues. A primary objective of the workshop was to gather together a diverse set of researchers in the mathematical areas relevant to the recent advances in order to discuss the research challenges facing this field in the next several years. The workshop was organized into five different thrusts: - Topology and Discrete Methods - Signal and Geometry Processing - Partial Differential Equations - Data Approximation Techniques - Massive Data Applications This book presents a summary of the research ideas presented at this workshop Nota de contenido: Maximizing Adaptivity in Hierarchical Topological Models Using Cancellation Trees -- The TOPORRERY: computation and presentation of multi-resolution topology -- Isocontour based Visualization of Time-varying Scalar Fields -- DeBruijn Counting for Visualization Algorithms -- Topological Methods for Visualizing Vortical Flows -- Stability and Computation of Medial Axes - a State-of-the-Art Report -- Local Geodesic Parametrization: an Ant’s Perspective -- Tensor-Fields Visualization Using a Fabric-like Texture Applied to Arbitrary Two-dimensional Surfaces -- Flow Visualization via Partial Differential Equations -- Iterative Twofold Line Integral Convolution for Texture-Based Vector Field Visualization -- Constructing 3D Elliptical Gaussians for Irregular Data -- From Sphere Packing to the Theory of Optimal Lattice Sampling -- Reducing Interpolation Artifacts by Globally Fairing Contours -- Time- and Space-efficient Error Calculation for Multiresolution Direct Volume Rendering -- Massive Data Visualization: A Survey -- Compression and Occlusion Culling for Fast Isosurface Extraction from Massive Datasets -- Volume Visualization of Multiple Alignment of Large Genomic DNA -- Model-based Visualization - Computing Perceptually Optimal Visualizations En línea: http://dx.doi.org/10.1007/b106657 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34006 Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration [documento electrónico] / SpringerLink (Online service) ; Möller, Torsten ; Hamann, Bernd ; Russell, Robert D . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2009 . - X, 350 p. 183 illus., 134 illus. in color : online resource. - (Mathematics and Visualization, ISSN 1612-3786) .ISBN: 978-3-540-49926-8

Idioma : Inglés (eng)

Palabras clave: Computer science Computers Mathematics graphics Application software mathematics Science Applications Theory of Computation Computational and Numerical Analysis Graphics Computing Engineering Clasificación: 51 Matemáticas Resumen: Visualization is one of the most active and exciting areas of Mathematics and Computing Science, and indeed one which is only beginning to mature. Current visualization algorithms break down for very large data sets. While present approaches use multi-resolution ideas, future data sizes will not be handled that way. New algorithms based on sophisticated mathematical modeling techniques must be devised which will permit the extraction of high-level topological structures that can be visualized. For these reasons a workshop was organized at the Banff International Research Station, focused specifically on mathematical issues. A primary objective of the workshop was to gather together a diverse set of researchers in the mathematical areas relevant to the recent advances in order to discuss the research challenges facing this field in the next several years. The workshop was organized into five different thrusts: - Topology and Discrete Methods - Signal and Geometry Processing - Partial Differential Equations - Data Approximation Techniques - Massive Data Applications This book presents a summary of the research ideas presented at this workshop Nota de contenido: Maximizing Adaptivity in Hierarchical Topological Models Using Cancellation Trees -- The TOPORRERY: computation and presentation of multi-resolution topology -- Isocontour based Visualization of Time-varying Scalar Fields -- DeBruijn Counting for Visualization Algorithms -- Topological Methods for Visualizing Vortical Flows -- Stability and Computation of Medial Axes - a State-of-the-Art Report -- Local Geodesic Parametrization: an Ant’s Perspective -- Tensor-Fields Visualization Using a Fabric-like Texture Applied to Arbitrary Two-dimensional Surfaces -- Flow Visualization via Partial Differential Equations -- Iterative Twofold Line Integral Convolution for Texture-Based Vector Field Visualization -- Constructing 3D Elliptical Gaussians for Irregular Data -- From Sphere Packing to the Theory of Optimal Lattice Sampling -- Reducing Interpolation Artifacts by Globally Fairing Contours -- Time- and Space-efficient Error Calculation for Multiresolution Direct Volume Rendering -- Massive Data Visualization: A Survey -- Compression and Occlusion Culling for Fast Isosurface Extraction from Massive Datasets -- Volume Visualization of Multiple Alignment of Large Genomic DNA -- Model-based Visualization - Computing Perceptually Optimal Visualizations En línea: http://dx.doi.org/10.1007/b106657 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34006 ## Ejemplares

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Título : The Grammar of Graphics Tipo de documento: documento electrónico Autores: Wilkinson, Leland ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2005 Colección: Statistics and Computing, ISSN 1431-8784 Número de páginas: XVIII, 691 p Il.: online resource ISBN/ISSN/DL: 978-0-387-28695-2 Idioma : Inglés ( eng)Palabras clave: Statistics Computer graphics Mathematics Visualization and Computing/Statistics Programs Imaging, Vision, Pattern Recognition Graphics Clasificación: 51 Matemáticas Resumen: This book was written for statisticians, computer scientists, geographers, researchers, and others interested in visualizing data. It presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. While the tangible results of this work have been several visualization software libraries, this book focuses on the deep structures involved in producing quantitative graphics from data. What are the rules that underlie the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts? Those less interested in the theoretical and mathematical foundations can still get a sense of the richness and structure of the system by examining the numerous and often unique color graphics it can produce. The second edition is almost twice the size of the original, with six new chapters and substantial revision. Much of the added material makes this book suitable for survey courses in visualization and statistical graphics. From reviews of the first edition: "Destined to become a landmark in statistical graphics, this book provides a formal description of graphics, particularly static graphics, playing much the same role for graphics as probability theory played for statistics." Journal of the American Statistical Association "Wilkinson’s careful scholarship shows around every corner. This is a tour de force of the highest order." Psychometrika "All geography and map libraries should add this book to their collections; the serious scholar of quantitative data graphics will place this book on the same shelf with those by Edward Tufte, and volumes by Cleveland, Bertin, Monmonier, MacEachren, among others, and continue the unending task of proselytizing for the best in statistical data presentation by example and through scholarship like that of Leland Wilkinson." Cartographic Perspectives "In summary, this is certainly a remarkable book and a new ambitious step for the development and application of statistical graphics." Computational Statistics and Data Analysis About the author: Leland Wilkinson is Senior VP, SPSS Inc. and Adjunct Professor of Statistics at Northwestern University. He is also affiliated with the Computer Science department at The University of Illinois at Chicago. He wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. Wilkinson joined SPSS in a 1994 acquisition and now works on research and development of visual analytics and statistics. He is a Fellow of the ASA. In addition to journal articles and the original SYSTAT computer program and manuals, Wilkinson is the author (with Grant Blank and Chris Gruber) of Desktop Data Analysis with SYSTAT. Nota de contenido: Syntax -- How To Make a Pie -- Data -- Variables -- Algebra -- Scales -- Statistics -- Geometry -- Coordinates -- Aesthetics -- Facets -- Guides -- Semantics -- Space -- Time -- Uncertainty -- Analysis -- Control -- Automation -- Reader -- Coda En línea: http://dx.doi.org/10.1007/0-387-28695-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35150 The Grammar of Graphics [documento electrónico] / Wilkinson, Leland ; SpringerLink (Online service) . - New York, NY : Springer New York, 2005 . - XVIII, 691 p : online resource. - (Statistics and Computing, ISSN 1431-8784) .ISBN: 978-0-387-28695-2

Idioma : Inglés (eng)

Palabras clave: Statistics Computer graphics Mathematics Visualization and Computing/Statistics Programs Imaging, Vision, Pattern Recognition Graphics Clasificación: 51 Matemáticas Resumen: This book was written for statisticians, computer scientists, geographers, researchers, and others interested in visualizing data. It presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. While the tangible results of this work have been several visualization software libraries, this book focuses on the deep structures involved in producing quantitative graphics from data. What are the rules that underlie the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts? Those less interested in the theoretical and mathematical foundations can still get a sense of the richness and structure of the system by examining the numerous and often unique color graphics it can produce. The second edition is almost twice the size of the original, with six new chapters and substantial revision. Much of the added material makes this book suitable for survey courses in visualization and statistical graphics. From reviews of the first edition: "Destined to become a landmark in statistical graphics, this book provides a formal description of graphics, particularly static graphics, playing much the same role for graphics as probability theory played for statistics." Journal of the American Statistical Association "Wilkinson’s careful scholarship shows around every corner. This is a tour de force of the highest order." Psychometrika "All geography and map libraries should add this book to their collections; the serious scholar of quantitative data graphics will place this book on the same shelf with those by Edward Tufte, and volumes by Cleveland, Bertin, Monmonier, MacEachren, among others, and continue the unending task of proselytizing for the best in statistical data presentation by example and through scholarship like that of Leland Wilkinson." Cartographic Perspectives "In summary, this is certainly a remarkable book and a new ambitious step for the development and application of statistical graphics." Computational Statistics and Data Analysis About the author: Leland Wilkinson is Senior VP, SPSS Inc. and Adjunct Professor of Statistics at Northwestern University. He is also affiliated with the Computer Science department at The University of Illinois at Chicago. He wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. Wilkinson joined SPSS in a 1994 acquisition and now works on research and development of visual analytics and statistics. He is a Fellow of the ASA. In addition to journal articles and the original SYSTAT computer program and manuals, Wilkinson is the author (with Grant Blank and Chris Gruber) of Desktop Data Analysis with SYSTAT. Nota de contenido: Syntax -- How To Make a Pie -- Data -- Variables -- Algebra -- Scales -- Statistics -- Geometry -- Coordinates -- Aesthetics -- Facets -- Guides -- Semantics -- Space -- Time -- Uncertainty -- Analysis -- Control -- Automation -- Reader -- Coda En línea: http://dx.doi.org/10.1007/0-387-28695-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35150 ## Ejemplares

Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar PermalinkPermalinkPermalinkPermalinkScientific Visualization: The Visual Extraction of Knowledge from Data / SpringerLink (Online service) ; Bonneau, Georges-Pierre ; Ertl, Thomas ; Nielson, Gregory M (2006)

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