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Author: Ronald Pearson Publisher: Oxford University Press, USA ISBN: Category : Mathematics Languages : en Pages : 794
Book Description
This book introduces various widely available exploratory data analysis methods, emphasizing those that are most useful in the preliminary exploration of large datasets involving mixed data types. Topics include descriptive statistics, graphical analysis tools, regression modeling and spectrum estimation, along with practical issues like outliers, missing data, and variable selection.
Author: Ronald Pearson Publisher: Oxford University Press, USA ISBN: Category : Mathematics Languages : en Pages : 794
Book Description
This book introduces various widely available exploratory data analysis methods, emphasizing those that are most useful in the preliminary exploration of large datasets involving mixed data types. Topics include descriptive statistics, graphical analysis tools, regression modeling and spectrum estimation, along with practical issues like outliers, missing data, and variable selection.
Author: Jeffrey D. Camm Publisher: Cengage Learning ISBN: 9780357631348 Category : Languages : en Pages : 448
Book Description
DATA VISUALIZATION: Exploring and Explaining with Data is designed to introduce best practices in data visualization to undergraduate and graduate students. This is one of the first books on data visualization designed for college courses. The book contains material on effective design, choice of chart type, effective use of color, how to both explore data visually, and how to explain concepts and results visually in a compelling way with data. The book explains both the "why" of data visualization and the "how." That is, the book provides lucid explanations of the guiding principles of data visualization through the use of interesting examples.
Author: David C. Hoaglin Publisher: John Wiley & Sons ISBN: 1118150694 Category : Mathematics Languages : en Pages : 564
Book Description
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, describing multivariate and more complicated techniques . . . I feel that the authors have made a very significant contribution in the area of multivariate nonparametric methods. This book [is] a valuable source of reference to researchers in the area." —Technometrics "This edited volume . . . provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks to reveal structure, or simple descriptions, in data . . . It is . . . an important reference volume which any statistical library should consider seriously." —The Statistician This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic enterprise, and it also presents new methods such as fitting by organized comparisons using the square combining table and identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere. Conceptual support for each technique is also provided.
Author: Charles R. Severance Publisher: ISBN: 9781530051120 Category : Languages : en Pages : 242
Book Description
Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.
Author: Kamarul Imran Musa & Wan Nor Arifin Wan Mansor Publisher: Penerbit USM ISBN: 9674615296 Category : Education Languages : en Pages : 160
Book Description
Exploring Data Using R introduces readers to R and RStudio to make data exploration fast, fluid and fun. This book is suitable for readers with no previous R programming experience. It aims to get the readers to analyse data as quickly as possible. Authors Kamarul Imran Musa and Wan Nor Arifin Wan Mansor guide through three main steps in data exploration: data management, descriptive statistics and visual exploration. Readers will get a quick understanding and easy-to-use guides, along with the basic tools needed to use R in the RStudio IDE for efficient data exploration. Readers will learn how to: Install R and RStudio ,Manage data – turn datasets into formats convenient for analysis ,Describe data – for one and two variables and cross-tabulation ,Explore the data visually – create plots using popular R packages, for example, ggplot and lattice
Author: W. J. Dixon Publisher: Univ of California Press ISBN: 0520338219 Category : Computers Languages : en Pages : 576
Book Description
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1974. This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived
Author: Jerry Bonnell Publisher: CRC Press ISBN: 1000918114 Category : Mathematics Languages : en Pages : 492
Book Description
Gain proficiency in R programming Load and manipulate data frames, and "tidy" them using tidyverse tools Conduct statistical analyses and draw meaningful inferences from them Perform modeling from numerical and textual data Generate data visualizations (numerical and spatial) using ggplot2 and understand what is being represented
Author: Ronald Pearson
Author: Ronald Pearson
Author: Jane; Marsh Elliott (Catherine)
Author: Ben Fry
Author: Jeffrey D. Camm
Author: David C. Hoaglin
Author: Charles R. Severance
Author: Kamarul Imran Musa & Wan Nor Arifin Wan Mansor
Author: W. J. Dixon
Author: The Open University
Author: Jerry Bonnell