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Applied data visualization with R and ggplot2 : Create useful, elaborate, and visually appealing plots /
When data is presented to you in a graphical or pictorial format, you can analyze it more effectively. This book begins by introducing you to basic concepts, such as grammar of graphics and geometric objects. It then goes on to explain these concepts in detail with examples. Once you are comfortable...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Intro; Title Page; Copyright and Credits; About the Author; Packt Upsell; Table of Contents; Preface; 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 ChartCreating 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 GraphicsLayers; 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 GloballyChanging 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 MapTrends, 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.