PART I. INTRODUCTION
1. Introduction
2. Examples
PART II. SEE DATA-THE PROCESS
3. Interfaces and Environments
4. Tools and Techniques
PART III. SEEING DATA
5. Seeing Frequency Data
6. Seeing Univariate Data
7. Seeing Bivariate Data
8. Seeing Multivariate Data
9. Seeing Magnitude Data that have Missing Values
PART IV. THEORETICAL FOUNDATIONS
10. Theoretical Foundations
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