Visual Statistics: Seeing Data with Dynamic Interactive Graphics
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.
Chapter 1. Introduction.
Chapter 2. Examples.
PART II: SEE DATA-THE PROCESS.
Chapter 3. Interfaces and Environments.
Chapter 4. Tools and Techniques.
PART III: SEEING DATA.
Chapter 5. Seeing Frequency Data.
Chapter 6. Seeing Univariate Data.
Chapter 7. Seeing Bivariate Data.
Chapter 8. Seeing Multivariate Data.
Chapter 9. Seeing Magnitude Data that have Missing Values
PART IV: THEORETICAL FOUNDATIONS
Chapter 10. Theoretical Foundations.
PEDRO M. VALERO-MORA, PhD, is Professor of Data Processing at the University of Valencia in Spain. He is the author of several research papers. He received his PhD in methodology in the behavioral sciences from the University of Valencia in Spain.
MICHAEL FRIENDLY, PhD, is Professor in the Department of Psychology at York University in Toronto, Ontario, Canada. He received his PhD in psychometrics and cognitive psychology from Princeton University. He is the author of two books and numerous research papers.
"…the book admirably guides readers through the process of exploring and analyzing a variety of types of data." (The American Statistician, August 2007)
"A technically well-produced book, significant in that it documents efforts these psychometrics faculty made in using visual approaches to analyze data." (CHOICE, March 2007)
"Forrest Young has been a leading light in developing dynamic interactive graphics for decades…so [I] am delighted to see this book appear." (Short Book Reviews, December 2006)
"...the book not only improves a student's understanding of statistics, but also builds confidence to overcome problems that may have previously been intimidating...an excellent textbook" (Computing Reviews.com, November 16, 2006)
"...covers its subject matter skillfully, and provides great insight into the world of the dynamic visualization of statistical data." (Journal of Applied Statistics, 2007)
"The people who would benefit most from this book are those who teach courses in statistics." (AstA Advances in Statistical Analysis, 2008)