Interactive Graphics for Data Analysis: Principles and Examples (Google eBook)

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CRC Press, Oct 24, 2008 - Mathematics - 290 pages
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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 Snellís 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.

  

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Contents

Introduction
1
Part I Principles
9
Chapter 1 Interactivity
11
Chapter 2 Examining a Single Variable
29
Chapter 3 Interactions between Two Variables
49
Chapter 4 Multidimensional Plots
69
Chapter 5 Plot Ensembles and Statistical Models
89
Chapter 6 Geographical Data
107
Chapter 7 More Interactivity
119
Chapter 8 Missing Values
133
Chapter 9 Large Data
143
Chapter 10 On the Examples
151
Part II Examples
155
Back cover
282
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