Spis treści publikacji pt. „Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures”.

Tytuł: „Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures”
Autor: Claus Wilke
Wydawca: O′Reilly
Data wydania: 2019-04-23
Język: Angielski
Liczba stron: 300

Spis treści

Spis treści / Table of contents

Preface / xi

  1. Introduction / 1

Ugly, Bad, and Wrong Figures / 2

Part I. From Data to Visualization

  1. Visualizing Data: Mapping Data onto Aesthetics / 7

Aesthetics and Types of Data / 7

Scales Map Data Values onto Aesthetics / 10

  1. Coordinate Systems and Axes / 13

Cartesian Coordinates / 13

Nonlinear Axes / 16

Coordinate Systems with Curved Axes / 22

  1. Color Scales / 27

Color as a Tool to Distinguish / 27

Color to Represent Data Values / 29

Color as a Tool to Highlight / 33

  1. Directory of Visualizations / 37

Amounts / 37

Distributions / 38

Proportions / 39

x–y relationships / 41

Geospatial Data / 42

Uncertainty / 43

  1. Visualizing Amounts / 45

Bar Plots / 45

Grouped and Stacked Bars / 50

Dot Plots and Heatmaps / 53

  1. Visualizing Distributions: Histograms and Density Plots / 59

Visualizing a Single Distribution / 59

Visualizing Multiple Distributions at the Same Time / 64

  1. Visualizing Distributions: Empirical Cumulative Distribution Functions and Q-Q Plots / 71

Empirical Cumulative Distribution Functions / 71

Highly Skewed Distributions / 74

Quantile-Quantile Plots / 78

  1. Visualizing Many Distributions at Once / 81

Visualizing Distributions Along the Vertical Axis / 81

Visualizing Distributions Along the Horizontal Axis / 88

  1. Visualizing Proportions / 93

A Case for Pie Charts / 93

A Case for Side-by-Side Bars / 97

A Case for Stacked Bars and Stacked Densities / 99

Visualizing Proportions Separately as Parts of the Total / 101

  1. Visualizing Nested Proportions / 105

Nested Proportions Gone Wrong / 105

Mosaic Plots and Treemaps / 107

Nested Pies / 111

Parallel Sets / 113

  1. Visualizing Associations Among Two or More Quantitative Variables /117

Scatterplots / 117

Correlograms / 121

Dimension Reduction / 124

Paired Data / 127

  1. Visualizing Time Series and Other Functions of an Independent Variable / 131

Individual Time Series / 131

Multiple Time Series and Dose–Response Curves / 135

Time Series of Two or More Response Variables / 138

  1. Visualizing Trends / 145

Smoothing / 145

Showing Trends with a Defined Functional Form / 151

Detrending and Time-Series Decomposition / 155

  1. Visualizing Geospatial Data / 161

Projections / 161

Layers / 169

Choropleth Mapping / 172

Cartograms 176

  1. Visualizing Uncertainty / 181 

Framing Probabilities as Frequencies / 181

Visualizing the Uncertainty of Point Estimates / 186

Visualizing the Uncertainty of Curve Fits / 197

Hypothetical Outcome Plots / 201

Part II. Principles of Figure Design

  1. The Principle of Proportional Ink / 207

Visualizations Along Linear Axes / 208

Visualizations Along Logarithmic Axes / 212

Direct Area Visualizations / 215

  1. Handling Overlapping Points / 219

Partial Transparency and Jittering 219

2D Histograms / 222

Contour Lines / 225

  1. Common Pitfalls of Color Use / 233

Encoding Too Much or Irrelevant Information / 233

Using Nonmonotonic Color Scales to Encode Data Values / 237

Not Designing for Color-Vision Deficiency / 238

  1. Redundant Coding / 243

Designing Legends with Redundant Coding / 243

Designing Figures Without Legends / 250

  1. Multipanel Figures / 255

Small Multiples / 255

Compound Figures / 260

  1. Titles, Captions, and Tables / 267

Figure Titles and Captions / 267

Axis and Legend Titles / 270

Tables / 273

  1. Balance the Data and the Context / 277

Providing the Appropriate Amount of Context / 277

Background Grids / 282

Paired Data / 287

Summary / 290

  1. Use Larger Axis Labels / 291

  2. Avoid Line Drawings / 297

  3. Don’t Go 3D / 305

Avoid Gratuitous 3D / 305

Avoid 3D Position Scales / 307

Appropriate Use of 3D Visualizations / 313

Part III. Miscellaneous Topics

  1. Understanding the Most Commonly Used Image File Formats / 319

Bitmap and Vector Graphics / 319

Lossless and Lossy Compression of Bitmap Graphics / 321

Converting Between Image Formats / 324

  1. Choosing the Right Visualization Software / 325

Reproducibility and Repeatability / 326

Data Exploration Versus Data Presentation / 327

Separation of Content and Design / 330

  1. Telling a Story and Making a Point / 333

What Is a Story? / 334

Make a Figure for the Generals / 337

Build Up Toward Complex Figures / 341

Make Your Figures Memorable / 343

Be Consistent but Don’t Be Repetitive / 345

Annotated Bibliography / 351
Technical Notes / 355
References / 357
Index / 361

Kreatywne pozdrowienia,

Wyrusz z nami w wirtualną podróż do świata infografiki ilustracyjnej i dziennikarskiej!

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Wyrusz z nami w wirtualną podróż do świata infografiki ilustracyjnej i dziennikarskiej!

Nasze kursy o infografice to wirtualna przygoda, w której możesz poczuć się jak prawdziwy odkrywca, eksplorując nieznany dotąd świat. To idealna możliwość poszerzenia swoich horyzontów, bez wychodzenia z domu.