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 GraphicsThe first part of the book summarizes principles and methodology, demons

chapter |8 pages


part Part I|2 pages


chapter 1|18 pages


chapter 2|20 pages

Examining a Single Variable

chapter 3|20 pages

Interactions between Two Variables

chapter 4|20 pages

Multidimensional Plots

chapter 5|18 pages

Plot Ensembles and Statistical Models

chapter 6|12 pages

Geographical Data

chapter 7|14 pages

More Interactivity

chapter 8|10 pages

Missing Values

chapter 9|8 pages

Large Data

chapter 10|4 pages

On the Examples

part Part II|2 pages


chapter A|8 pages

How to Pass an Exam

chapter B|8 pages

Washing — What Makes the Difference

chapter C|10 pages

The Influence of Smoking on Birthweight

chapter D|10 pages

The Titanic Disaster Revisited

chapter E|10 pages

Housing Rent Prices in Munich

chapter F|3 pages

What Makes a Tour de France Winner

chapter G|8 pages

How to Survive the Thirty Years’ War

chapter H|9 pages

Classification of Italian Olive Oils

chapter I|9 pages

E-Voting in the 2004 Florida Election

chapter i|28 pages

Mondrian Reference