Theus / Urbanek Interactive Graphics for Data Analysis

Principles and Examples
1. Auflage 2011
ISBN: 978-1-4200-1106-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 290 Seiten

Reihe: Chapman & Hall/CRC Computer Science & Data Analysis

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.

Zielgruppe

Advanced undergraduate and graduate students in statistics and data analysis; data analysts from statistics, medicine, epidemiology, biology, finance/economics, and social science.

Autoren/Hrsg.

Theus, Martin

Urbanek, Simon

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

Introduction

PRINCIPLES
Interactivity

Queries

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
ANOVA
Loglinear Models
Geographical Data
More Interactivity

Sorting and Ordering

Zooming

Multiple Views
Interactive Graphics ? Dynamic Graphics
Missing Values

Large Data

Unaffected, Summary-Based Plots
Glyph-Based Plots
EXAMPLES
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
Plots

Commands

Reference Card
References

Authors

Index