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Graphical Methods for Data Analysis

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Release : 2018-01-18
Genre : Mathematics
Kind : eBook
Book Rating : 20X/5 ( reviews)

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Book Synopsis Graphical Methods for Data Analysis by : J. M. Chambers

Download or read book Graphical Methods for Data Analysis written by J. M. Chambers. This book was released on 2018-01-18. Available in PDF, EPUB and Kindle. Book excerpt: 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 Exploratory Data Analysis

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Release : 2012-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 503/5 ( reviews)

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Book Synopsis Graphical Exploratory Data Analysis by : S. H. C. DuToit

Download or read book Graphical Exploratory Data Analysis written by S. H. C. DuToit. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Graphical Data Analysis with R

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Release : 2015-03-25
Genre : Mathematics
Kind : eBook
Book Rating : 249/5 ( reviews)

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Book Synopsis Graphical Data Analysis with R by : Antony Unwin

Download or read book Graphical Data Analysis with R written by Antony Unwin. This book was released on 2015-03-25. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Discrete Data Analysis with R

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Release : 2015-12-16
Genre : Mathematics
Kind : eBook
Book Rating : 864/5 ( reviews)

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Book Synopsis Discrete Data Analysis with R by : Michael Friendly

Download or read book Discrete Data Analysis with R written by Michael Friendly. This book was released on 2015-12-16. Available in PDF, EPUB and Kindle. Book excerpt: An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical meth

Graph Algorithms for Data Science

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Release : 2024-02-27
Genre : Computers
Kind : eBook
Book Rating : 464/5 ( reviews)

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Book Synopsis Graph Algorithms for Data Science by : Tomaž Bratanic

Download or read book Graph Algorithms for Data Science written by Tomaž Bratanic. This book was released on 2024-02-27. Available in PDF, EPUB and Kindle. Book excerpt: Graph Algorithms for Data Science teaches you how to construct graphs from both structured and unstructured data. You'll learn how the flexible Cypher query language can be used to easily manipulate graph structures, and extract amazing insights. Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications. It's filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You'll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects.

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