Efnisyfirlit

• Title
• Copyright
• Dedication
• Contents
• Preface
• What You Will Learn
• The Right Frame of Mind
• How to Use This Book
• Conventions
• Before You Begin
• 1 Look at Data
• 1.1 Why Look at Data?
• 1.2 What Makes Bad Figures Bad?
• 1.3 Perception and Data Visualization
• 1.4 Visual Tasks and Decoding Graphs
• 1.5 Channels for Representing Data
• 1.6 Problems of Honesty and Good Judgment
• 1.7 Think Clearly about Graphs
• 1.8 Where to Go Next
• 2 Get Started
• 2.1 Work in Plain Text, Using RMarkdown
• 2.2 Use R with RStudio
• 2.3 Things to Know about R
• 2.4 Be Patient with R, and with Yourself
• 2.5 Get Data into R
• 2.6 Make Your First Figure
• 2.7 Where to Go Next
• 3 Make a Plot
• 3.1 How Ggplot Works
• 3.2 Tidy Data
• 3.3 Mappings Link Data to Things You See
• 3.4 Build Your Plots Layer by Layer
• 3.5 Mapping Aesthetics vs Setting Them
• 3.6 Aesthetics Can Be Mapped per Geom
• 3.7 Save Your Work
• 3.8 Where to Go Next
• 4 Show the Right Numbers
• 4.1 Colorless Green Data Sleeps Furiously
• 4.2 Grouped Data and the “Group” Aesthetic
• 4.3 Facet to Make Small Multiples
• 4.4 Geoms Can Transform Data
• 4.5 Frequency Plots the Slightly Awkward Way
• 4.6 Histograms and Density Plots
• 4.7 Avoid Transformations When Necessary
• 4.8 Where to Go Next
• 5 Graph Tables, Add Labels, Make Notes
• 5.1 Use Pipes to Summarize Data
• 5.2 Continuous Variables by Group or Category
• 5.3 Plot Text Directly
• 5.4 Label Outliers
• 5.5 Write and Draw in the Plot Area
• 5.6 Understanding Scales, Guides, and Themes
• 5.7 Where to Go Next
• 6 Work with Models
• 6.1 Show Several Fits at Once, with a Legend
• 6.2 Look Inside Model Objects
• 6.3 Get Model-Based Graphics Right
• 6.4 Generate Predictions to Graph
• 6.5 Tidy Model Objects with Broom
• 6.6 Grouped Analysis and List Columns
• 6.7 Plot Marginal Effects
• 6.8 Plots from Complex Surveys
• 6.9 Where to Go Next
• 7 Draw Maps
• 7.1 Map U.S. State-Level Data
• 7.2 America’s Ur-choropleths
• 7.3 Statebins
• 7.4 Small-Multiple Maps
• 7.5 Is Your Data Really Spatial?
• 7.6 Where to Go Next
• 8 Refine Your Plots
• 8.1 Use Color to Your Advantage
• 8.2 Layer Color and Text Together
• 8.3 Change the Appearance of Plots with Themes
• 8.4 Use Theme Elements in a Substantive Way
• 8.5 Case Studies
• 8.6 Where to Go Next
• Acknowledgments
• Appendix
• 1 A Little More about R
• 2 Common Problems Reading in Data
• 3 Managing Projects and Files
• 4 Some Features of This Book
• References
• Index