Graphical Methods For Data Analysis

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Graphical Methods For Data Analysis

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Author : J. M. Chambers
language : en
Publisher: CRC Press
Release Date : 2018-01-18

Graphical Methods For Data Analysis written by J. M. Chambers and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Mathematics categories.

This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.

Graphical Methods For Data Analysis

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Author : J. M. Chambers
language : en
Publisher: Chapman and Hall/CRC
Release Date : 1983-02-01

Graphical Methods For Data Analysis written by J. M. Chambers and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-02-01 with Mathematics categories.

Graphical Methods For Data Analysis

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Author : J. Chambers
language : en
Publisher: Springer
Release Date : 1983-01-30

Graphical Methods For Data Analysis written by J. Chambers and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-01-30 with Computers categories.

Interactive Graphics For Data Analysis

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Author : Martin Theus
language : en
Publisher: CRC Press
Release Date : 2008-10-24

Interactive Graphics For Data Analysis written by Martin Theus and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-24 with Computers categories.

Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets.Fundamentals of Interactive Statistical GraphicsThe first part of the book summarizes principles and methodology, demons

Graphical Exploratory Data Analysis

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Author : S. H. C. DuToit
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Graphical Exploratory Data Analysis written by S. H. C. DuToit and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.

Portraying data graphically certainly contributes toward a clearer and more penetrative understanding of data and also makes sophisticated statistical data analyses more marketable. This realization has emerged from many years of experience in teaching students, in research, and especially from engaging in statistical consulting work in a variety of subject fields. Consequently, we were somewhat surprised to discover that a comprehen sive, yet simple presentation of graphical exploratory techniques for the data analyst was not available. Generally books on the subject were either too incomplete, stopping at a histogram or pie chart, or were too technical and specialized and not linked to readily available computer programs. Many of these graphical techniques have furthermore only recently appeared in statis tical journals and are thus not easily accessible to the statistically unsophis ticated data analyst. This book, therefore, attempts to give a sound overview of most of the well-known and widely used methods of analyzing and portraying data graph ically. Throughout the book the emphasis is on exploratory techniques. Real izing the futility of presenting these methods without the necessary computer programs to actually perform them, we endeavored to provide working com puter programs in almost every case. Graphic representations are illustrated throughout by making use of real-life data. Two such data sets are frequently used throughout the text. In realizing the aims set out above we avoided intricate theoretical derivations and explanations but we nevertheless are convinced that this book will be of inestimable value even to a trained statistician.

Dynamic Graphics Statistics

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Author : Cleveland
language : en
Publisher: CRC Press
Release Date : 1988-07-08

Dynamic Graphics Statistics written by Cleveland and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-07-08 with Mathematics categories.

The essential characteristic of a dynamic graphical method is the direct manipulation of elements of a graph on a computer screen, which in high-performance implementations, the elements change virtually instantaneously on the screen. This book contains a collection of papers about dynamic graphics dating from the late 1960s to 1988. Although technology has advanced considerably, the fundamental ideas about basic graphical principles and data-analytic goals are still relevant today.

Graphical Data Analysis With R

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Author : Antony Unwin
language : en
Publisher: CRC Press
Release Date : 2015-03-25

Graphical Data Analysis With R written by Antony Unwin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-25 with Mathematics categories.

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.

Graphical Methods For Data Analysis

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Author : J. M. Chambers
language : en
Publisher: CRC Press
Release Date : 2018-01-18

Graphical Methods For Data Analysis written by J. M. Chambers and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Mathematics categories.

This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.

Interactive And Dynamic Graphics For Data Analysis

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Author : Dianne Cook
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-05

Interactive And Dynamic Graphics For Data Analysis written by Dianne Cook and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-05 with Mathematics categories.

This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapter topics include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often starting with brushing linked low-dimensional views and working up to manual manipulation of tours of several variables. The book is augmented by a wealth of online material.

Graphical Models

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Author : Christian Borgelt
language : en
Publisher:
Release Date : 2009

Graphical Models written by Christian Borgelt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Data mining categories.