Interactive graphics for data analysis : principles and examples

✍ Scribed by Martin Theus; Simon Urbanek

• Publisher: CRC Press
• Year: 2009
• Tongue: English
• Leaves: 275
• Series: Series in computer science and data analysis
• Category: Library

✦ Synopsis

"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. The first part of the book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting. The authors introduce the most important plots and their interactive controls. They also examine various types of data, relations between variables, and plot ensembles.

The second section focuses on nine case studies. Each case study describes the background, lists the main goals of the analysis and the variables in the dataset, shows what further numerical procedures can add to the graphical analysis, and summarizes important findings. Wherever applicable, the authors also provide the numerical analysis for datasets found in Cox and Snell's landmark book."--Jacket. �Read more...

✦ Table of Contents

Content: I. Principles --
1. Interactivity --
2. Examining a Single Variable --
3. Interactions between Two Variables --
4. Multidimensional Plots --
5. Plot Ensembles and Statistical Models --
6. Geographical Data --
7. More Interactivity --
8. Missing Values --
9. Large Data --
10. On the Examples --
II. Examples --
A. How to Pass an Exam --
B. Washing --
What Makes the Difference --
C. The Influence of Smoking on Birth weight --
D. The Titanic Disaster Revisited --
E. Housing Rent Prices in Munich --
F. What Makes a Tour de France Winner --
G. How to Survive the Thirty Years' War --
H. Classification of Italian Olive Oils --
I. E-Voting in the 2004 Florida Election.
Abstract:

Discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. This book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting. �Read more...