A visually intuitive approach to statistical data analysis Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data. Using ViSta: The Visual Statistics System-developed by Forrest Young and Pedro Valero-Mora and available free of charge on the Internet-students can easily create fully interactive visualizations from relevant mathematical statistics, promoting perceptual and cognitive understanding of the data's story. An emphasis is placed on a paradigm for understanding data that is visual, intuitive, geometric, and active, rather than one that relies on convoluted logic, heavy mathematics, systems of algebraic equations, or passive acceptance of results. A companion Web site complements the book by further demonstrating the concept of creating interactive and dynamic graphics. The book provides users with the opportunity to view the graphics in a dynamic way by illustrating how to analyze statistical data and explore the concepts of visual statistics. Visual Statistics addresses and features the following topics: * Why use dynamic graphics? * A history of statistical graphics * Visual statistics and the graphical user interface * Visual statistics and the scientific method * Character-based statistical interface objects * Graphics-based statistical interfaces * Visualization for exploring univariate data This is an excellent textbook for undergraduate courses in data analysis and regression, for students majoring or minoring in statistics, mathematics, science, engineering, and computer science, as well as for graduate-level courses in mathematics. The book is also ideal as a reference/self-study guide for engineers, scientists, and mathematicians. With contributions by highly regarded professionals in the field, Visual Statistics not only improves a student's understanding of statistics, but also builds confidence to overcome problems that may have previously been intimidating.

Visual Statistics: Seeing Data with Dynamic Interactive Graphics

Science & Math

Friendly, Michael

Young, Forrest W.

Valero-Mora, Pedro M.

Mathematics

Wiley-Interscience

A comprehensive history of data visualization--its origins, rise, and effects on the ways we think about and solve problems. With complex information everywhere, graphics have become indispensable to our daily lives. Navigation apps show real-time, interactive traffic data. A color-coded map of exit polls details election balloting down to the county level. Charts communicate stock market trends, government spending, and the dangers of epidemics. A History of Data Visualization and Graphic Communication tells the story of how graphics left the exclusive confines of scientific research and became ubiquitous. As data visualization spread, it changed the way we think. Michael Friendly and Howard Wainer take us back to the beginnings of graphic communication in the mid-seventeenth century, when the Dutch cartographer Michael Florent van Langren created the first chart of statistical data, which showed estimates of the distance from Rome to Toledo. By 1786 William Playfair had invented the line graph and bar chart to explain trade imports and exports. In the nineteenth century, the "golden age" of data display, graphics found new uses in tracking disease outbreaks and understanding social issues. Friendly and Wainer make the case that the explosion in graphical communication both reinforced and was advanced by a cognitive revolution: visual thinking. Across disciplines, people realized that information could be conveyed more effectively by visual displays than by words or tables of numbers. Through stories and illustrations, A History of Data Visualization and Graphic Communication details the 400-year evolution of an intellectual framework that has become essential to both science and society at large.

A History of Data Visualization and Graphic Communication

Computers & Technology

Wainer, Howard

Programming

Harvard University Press

Advanced Logo: A Language for Learning (Computer Science for the Behavioral Sciences Series)

Advanced Logo shows how LOGO can be used as a vehicle to promote problem solving skills among secondary students, college students, and instructors. The book demonstrates the wide range of educational domains that can be explored through LOGO including generative grammars, physical laws of motion and mechanics, artificial intelligence, robotics, and calculus.

Computer Science

Psychology Press

Advanced Logo shows how LOGO can be used as a vehicle to promote problem solving skills among secondary students, college students, and instructors. The book demonstrates the wide range of educational domains that can be explored through LOGO including generative grammars, physical laws of motion and mechanics, artificial intelligence, robotics, and calculus.

Programming Languages

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete 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 methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results. The book is designed for advanced undergraduate and graduate students in the social and health sciences, epidemiology, economics, business, statistics, and biostatistics as well as researchers, methodologists, and consultants who can use the methods with their own data and analyses. Along with describing the necessary statistical theory, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to organize data, conduct an analysis, produce informative graphs, and evaluate what the graphs reveal about the data. The first part of the book contains introductory material on graphical methods for discrete data, basic R skills, and methods for fitting and visualizing one-way discrete distributions. The second part focuses on simple, traditional nonparametric tests and exploratory methods for visualizing patterns of association in two-way and larger frequency tables. The final part of the text discusses model-based methods for the analysis of discrete data. Web Resource The data sets and R software used, including the authors’ own vcd and vcdExtra packages, are available at http://cran.r-project.org.

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Chapman & Hall/CRC Texts in Statistical Science)

Meyer, David

Reference

Chapman and Hall/CRC

Learn to produce powerful displays of statistical data. Emphasized are displays that reveal aspects of data not easily captured in numerical summaries or tabular formats and diagnostic displays that help determine if assumptions of an analysis are met. Clearly written, with solid examples of careful analyses, this book is intended for users with basic to intermediate levels of experience with SAS software and statistics. Topics covered in this book include the role of statistical graphics in data analysis, graphical standards for data display, and simple, enhanced, and three-dimensional scatter plots. With this book you will also become proficient at displaying multivariate data and plotting variables and observations together. 
Supports releases 6.09 and higher of SAS software.

SAS System for Statistical Graphics, First Edition (SAS Series in Statistical Applications)

Operating Systems

SAS Institute

Advanced Logo shows how LOGO can be used as a vehicle to promote problem solving skills among secondary students, college students, and instructors. The book demonstrates the wide range of educational domains that can be explored through LOGO including generative grammars, physical laws of motion and mechanics, artificial intelligence, robotics, and calculus.

Advanced Logo: A Language for Learning (Computer Science for the Behavioral Sciences)

Behavioral Sciences

Lawrence Erlbaum

This book offers many new and more easily accessible graphical methods for representing categorical data using SAS software. Graphical methods for quantitative data are well developed and widely used. However, until now with this comprehensive treatment, few graphical methods existed for categorical data. In this innovative book, Friendly presents many aspects of the relationships among variables, the adequacy of a fitted model, and possibly unusual features of the data that can best be seen and appreciated in an informative graphical display. Filled with programs and data sets, this book focuses on the use, understanding, and interpretation of results. Where necessary, the statistical theory with a well-written explanation is also provided. Readers will also appreciate the implementation of these methods in the general macros and programs that are described in the book.

Visualizing Categorical Data

See the best price to sell, buy, or rent books by Friendly, Michael. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Friendly, Michael

See the best price to sell, buy, or rent books by Friendly, Michael. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Visual Statistics: Seeing Data with Dynamic Interactive Graphics

A History of Data Visualization and Graphic Communication

Advanced Logo: A Language for Learning (Computer Science for the Behavioral Sciences Series)

Advanced Logo: A Language for Learning (Computer Science for the Behavioral Sciences Series)

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Chapman & Hall/CRC Texts in Statistical Science)

SAS System for Statistical Graphics, First Edition (SAS Series in Statistical Applications)

Advanced Logo: A Language for Learning (Computer Science for the Behavioral Sciences)

Visualizing Categorical Data