Seminar

Visual Statistics: Materials for a short course

CONTENTS

• SUMMARY

1. Chapter 1 Introduction and History
   1. 1.1 Introduction
   2. 1.2 Software for interactive data analysis
   3. 1.2.1 XLisp-Stat
   4. 1.2.2 Commercial Systems
   5. 1.2.3 Noncommercial Systems
   6. 1.2.4 ViSta
2. Chapter 2 Interactive features in Plots
   1. 2.1 Introduction
   2. 2.2 Plots
   3. 2.2.1 Activating Plot Objects
   4. 2.2.2 Manipulating Plot Objects
   5. 2.2.3 Manipulating Plot Dimensions
   6. 2.2.4 Adding Graphical Elements
   7. 2.3 Spreadplots
3. Chapter 3 Categorical Data
   1. 3.1 Introduction
   2. 3.2 Mosaic Displays
   3. 3.3 Visual Fitting of Log-Linear Models
   4. 3.3.1 Log-Linear Spreadplot
   5. 3.3.2 Specifying Log-Linear Models and the Model Builder Window
   6. 3.3.3 Evaluating the Global Fit of Models and Their History
   7. 3.3.4 Visualizing Fitted and Residual Values with Mosaic Displays
   8. 3.3.5 Interpreting the Parameters of the Model
4. Chapter 4 Numerical Data
   1. 4.1 Introduction
   2. 4.2 Univariate data: Histograms and Frequency Polygons
   3. 4.3 Bivariate data: Scatterplot
   4. 4.3.1 What we can see with scatterplots
   5. 4.3.2 Guidelines
   6. 4.4 Multivariate Data: Parallel plots
5. Chapter 5 Missing values in Data
   1. 5.1 Introduction
   2. 5.2 Missing Data Visualization Tools
   3. 5.3 Missing Data Patterns
   4. 5.3.1 Patterns and Number of Cases
   5. 5.3.2 The Mechanisms Leading to Missing Data
   6. 5.3.3 Visualizing Dynamically the Patterns of Missing Data
   7. 5.4 Visualizing Imputed Values
   8. 5.4.1 Marking the Imputed Values
   9. 5.4.2 Single Imputation
   10. 5.5 Conclusions
6. References



7. Author Index



8. Subject Index