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Applied Data Visualization with R and ggplot2
AppliedDataVisualizationwithRandggplot2introducesyoutotheworldofdatavisualizationbytakingyouthroughthebasicfeaturesofggplot2.Tostartwith,you’lllearnhowtosetuptheRenvironment,followedbygettinginsightsintothegrammarofgraphicsandgeometricobjectsbeforeyouexploretheplottingtechniques.You’lldiscoverwhatlayers,scales,coordinates,andthemesare,andstudyhowyoucanusethemtotransformyourdataintoaestheticalgraphs.Onceyou’vegraspedthebasics,you’llmoveontostudyingsimpleplotssuchashistogramsandadvancedplotssuchassuperimposinganddensityplots.You’llalsogettogripswithplottingtrends,correlations,andstatisticalsummaries.Bytheendofthisbook,you’llhavecreateddatavisualizationsthatwillimpressyourclients.
目錄(113章)
倒序
- 封面
- Title Page
- Copyright and Credits
- Applied Data Visualization with R and ggplot2
- About the Author
- About the Author
- Packt Upsell
- Why Subscribe?
- PacktPub.com
- Preface
- Who This Book Is For
- What This Book Covers
- To Get the Most out of This Book
- Download the Example Code Files
- Conventions Used
- Get in Touch
- Reviews
- Basic Plotting in ggplot2
- Introduction to ggplot2
- Similar Packages
- The RStudio Workspace
- Loading and Exploring a Dataset Using R Functions
- The Main Concepts of ggplot2
- Types of Variables
- Exploring Datasets
- Making Your First Plot
- Plotting with qplot and R
- Analysis
- Geometric Objects
- Analyzing Different Datasets
- Histograms
- Creating a Histogram Using qplot and ggplot
- Activity: Creating a Histogram and Explaining its Features
- Creating Bar Charts
- Creating a One-Dimensional Bar Chart
- Creating a Two-Dimensional Bar Chart
- Analyzing and Creating Boxplots
- Creating a Boxplot for a Given Dataset
- Scatter Plots
- Line Charts
- Creating a Line Chart
- Activity: Creating One- and Two-Dimensional Visualizations with a Given Dataset
- One-Dimensional Plots
- Two-Dimensional Plots
- Three-Dimensional Plots
- The Grammar of Graphics
- Rebinning
- Analyzing Various Histograms
- Changing Boxplot Defaults Using the Grammar of Graphics
- Activity: Improving the Default Visualization
- Summary
- Grammar of Graphics and Visual Components
- More on the Grammar of Graphics
- Layers
- Using More Layers to Customize a Histogram
- Scales
- Using Scales to Analyze a Dataset
- Types of Coordinates
- Understanding Polar Coordinates
- Activity: Applying the Grammar of Graphics to Create a Complex Visualization
- Facets
- Using Facets to Split Data
- Activity: Using Faceting to Understand Data
- Changing Styles and Colors
- Using Different Colors to Group Points by a Variable
- Activity: Using Color Differentiation in Plots
- Themes and Changing the Appearance of Graphs
- Using a Theme to Customize a Plot
- Analysis
- Using or Setting Your Own Theme Globally
- Changing the Color Scheme of the Given Theme
- Activity: Using Themes and Color Differentiation in a Plot
- Geoms and Statistical Summaries
- Using Grouping to Create a Summarized Plot
- Summary
- Advanced Geoms and Statistics
- Advanced Plotting Techniques
- Creating a Bubble Chart
- Density Plots
- Using Density Plots
- Superimposing Plots
- Using Density Plots to Compare Distributions
- Time Series
- Creating a Time Series Plot
- Explanation of the Code
- Activity: Plot the Monthly Closing Stock Prices and the Mean Values
- Maps
- Displaying Information with Maps
- Activity: Creating a Variable-Encoded Regional Map
- Trends Correlations and Statistical Summaries
- Creating a Time Series Plot with the Mean Median and Quantiles
- Trends Correlations and Scatter plots
- Creating a Scatter Plot and Fitting a Linear Regression Model
- Creating a Correlation Plot
- Activity: Studying Correlated Variables
- Summary
- Solutions
- Chapter 1: Basic Plotting in ggplot2
- Activity: Creating a Histogram and Explaining its Features
- Activity: Creating One- and Two-Dimensional Visualizations with a Given Dataset
- Activity: Improving the Default Visualization
- Chapter 2: Grammar of Graphics and Visual Components
- Activity: Applying Grammar of Graphics to Create a Complex Visualization
- Activity: Using Faceting to Understand Data
- Activity: Using Color Differentiation in Plots
- Activity: Using Themes and Color Differentiation in a Plot
- Chapter 3: Advanced Geoms and Statistics
- Activity: Using Density Plots to Compare Distributions
- Activity: Plot the Monthly Closing Stock Prices and the Mean Values
- Activity: Creating a Variable-Encoded Regional Map
- Activity: Studying Correlated Variables
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