Cover -- Title Page -- Copyright Page -- Preface -- Contents -- 1: Introduction -- 1.1: Why Graphics? -- 1.2: What is a Graphical Method for Analyzing Data? -- 1.3: A Summary of the Contents -- 1.4: The Selection and Presentation of Materials -- 1.5: Data Sets -- 1.6: Quality of Graphical Displays -- 1.7: How Should This Book Be Used? -- 2: Portraying the Distribution of a Set of Data -- 2.1: Introduction -- 2.2: Quantile Plots -- 2.3: Symmetry -- 2.4: One-Dimensional Scatter Plots -- 2.5: Box Plots -- 2.6: Histograms -- 2.7: Stem-and-Leaf Diagrams -- 2.8: Symmetry Plots and Transformations -- 2.9: Density Traces -- 2.10: Summary and Discussion -- 2.11: Further Reading -- Exercises -- 3: Comparing Data Distributions -- 3.1: Introduction -- 3.2: Empirical Quantile-Quantile Plots -- 3.3: Collections of Single-Data-Set Displays -- 3.4: Notched Box Plots -- 3.5: Multiple Density Traces -- 3.6: Plotting Ratios and Differences -- 3.7: Summary and Discussion -- 3.8: Further Reading -- Exercises -- 4: Studying Two-Dimensional Data -- 4.1: Introduction -- 4.2: Numerical Summaries are not Enough -- 4.3: Examples -- 4.4: Looking at the Scatter Plots -- 4.5: Studying the Dependence of y on x by Summaries in Vertical Strips -- 4.6: Studying the Dependence of y on x by Smoothing -- 4.7: Studying the Dependence of the Spread of y on x by Smoothing Absolute Values of Residuals -- 4.8: Fighting Repeated Values with Jitter and Sunflowers -- 4.9: Showing Counts with Cellulation and Sunflowers -- 4.10: Two-Dimensional Local Densities and Sharpening -- 4.11: Mathematical Details of Lowess -- 4.12: Summary and Discussion -- 4.13: Further Reading -- Exercises -- 5: Plotting Multivariate Data -- 5.1: Introduction -- 5.2: One-Dimensional and Two-Dimensional Views -- 5.3: Plotting Three Dimensions at Once -- 5.4: Plotting Four and More Dimensions