Graphicacy for Numeracy: Review of Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures by Claus O. Wilke (2019)

Abstract

First edition. Intro; Copyright; Table of Contents; Preface; Thoughts on Graphing Software and Figure-Preparation Pipelines; Conventions Used in This Book; Using Code Examples; O'Reilly Online Learning; How to Contact Us; Acknowledgments; Chapter 1. Introduction; Ugly, Bad, and Wrong Figures; Part I. From Data to Visualization; Chapter 2. Visualizing Data: Mapping Data onto Aesthetics; Aesthetics and Types of Data; Scales Map Data Values onto Aesthetics; Chapter 3. Coordinate Systems and Axes; Cartesian Coordinates; Nonlinear Axes; Coordinate Systems with Curved Axes; Chapter 4. Color Scales Color as a Tool to DistinguishColor to Represent Data Values; Color as a Tool to Highlight; Chapter 5. Directory of Visualizations; Amounts; Distributions; Proportions; x-y relationships; Geospatial Data; Uncertainty; Chapter 6. Visualizing Amounts; Bar Plots; Grouped and Stacked Bars; Dot Plots and Heatmaps; Chapter 7. Visualizing Distributions: Histograms and Density Plots; Visualizing a Single Distribution; Visualizing Multiple Distributions at the Same Time; Chapter 8. Visualizing Distributions: Empirical Cumulative Distribution Functions and Q-Q Plots Empirical Cumulative Distribution FunctionsHighly Skewed Distributions; Quantile-Quantile Plots; Chapter 9. Visualizing Many Distributions at Once; Visualizing Distributions Along the Vertical Axis; Visualizing Distributions Along the Horizontal Axis; Chapter 10. Visualizing Proportions; A Case for Pie Charts; A Case for Side-by-Side Bars; A Case for Stacked Bars and Stacked Densities; Visualizing Proportions Separately as Parts of the Total; Chapter 11. Visualizing Nested Proportions; Nested Proportions Gone Wrong; Mosaic Plots and Treemaps; Nested Pies; Parallel Sets Chapter 12. Visualizing Associations Among Two or More Quantitative VariablesScatterplots; Correlograms; Dimension Reduction; Paired Data; Chapter 13. Visualizing Time Series and Other Functions of an Independent Variable; Individual Time Series; Multiple Time Series and Dose-Response Curves; Time Series of Two or More Response Variables; Chapter 14. Visualizing Trends; Smoothing; Showing Trends with a Defined Functional Form; Detrending and Time-Series Decomposition; Chapter 15. Visualizing Geospatial Data; Projections; Layers; Choropleth Mapping; Cartograms Chapter 16. Visualizing UncertaintyFraming Probabilities as Frequencies; Visualizing the Uncertainty of Point Estimates; Visualizing the Uncertainty of Curve Fits; Hypothetical Outcome Plots; Part II. Principles of Figure Design; Chapter 17. The Principle of Proportional Ink; Visualizations Along Linear Axes; Visualizations Along Logarithmic Axes; Direct Area Visualizations; Chapter 18. Handling Overlapping Points; Partial Transparency and Jittering; 2D Histograms; Contour Lines; Chapter 19. Common Pitfalls of Color Use; Encoding Too Much or Irrelevant Information