Interactive Graphics for Data Analysis: Principles and Examples, 1st Edition (Hardback) book cover

Interactive Graphics for Data Analysis

Principles and Examples, 1st Edition

By Martin Theus, Simon Urbanek

Chapman and Hall/CRC

290 pages | 186 B/W Illus.

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pub: 2008-10-24
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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.

Fundamentals of Interactive Statistical Graphics

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.

Case Studies Illustrate the Principles

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.

Understand How to Analyze Data through Graphical Means

This full-color text shows that interactive graphical methods complement the traditional statistical toolbox to achieve more complete, easier to understand, and easier to interpret analyses.


"…Interactive Graphics for Data Analysis gives you the ideas and tools to visualise, explore and understand all your data. …It … also introduces Mondrian, a powerful, easy-to-use tool that allows you to generate and explore everything shown. … If you have any data to present (or to mark), whether you are a psychologist, physicist, geographer, biologist or historian, whether writing a paper or dissertation, use this book. A brief, powerful book with excellent and clear graphics. … You have no excuse not to use it."

Times Higher Education, December 2009

"…I was able to get an early copy [of the book] and was impressed enough with its content and format to make both the text and software topics for a series in Dashboard Insight. … Interactive Graphics articulates the approach of exploratory data analysis by emphasizing the fundamentals of interactive statistical graphics. …"

—Steve Miller (President, OpenBI), Dashboard Insight, February 2009

Table of Contents





Selection and Linked Highlighting

Linking Analyses

Interacting with Graphics

Examining a Single Variable

Categorical Data

Continuous Data

Transforming Data

Weighted Plots

Interactions between Two Variables

Two Categorical Variables

One Categorical Variable and One Continuous Variable

Two Continuous Variables

Multidimensional Plots

Mosaic Plots

Parallel Coordinate Plots

Trellis Displays

Plot Ensembles and Statistical Models

Response Models


Loglinear Models

Geographical Data

More Interactivity

Sorting and Ordering


Multiple Views

Interactive Graphics ≠ Dynamic Graphics

Missing Values

Large Data

Unaffected, Summary-Based Plots

Glyph-Based Plots


How to Pass an Exam

Washing—What Makes the Difference

The Influence of Smoking on Birthweight

The Titanic Disaster Revisited

Housing Rent Prices in Munich

What Makes a Tour de France Winner

How to Survive Thirty Years’ War

Classification of Italian Olive Oils

E-Voting in the 2004 Florida Election

Appendix: Mondrian Reference

Quick Start Guide



Reference Card




About the Series

Chapman & Hall/CRC Computer Science & Data Analysis

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Database Management / Data Mining
MATHEMATICS / Probability & Statistics / General