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