Applied data visualization with R and ggplot2 : Create useful, elaborate, and visually appealing plots /: Create useful, elaborate, and visually appealing plots. (2018)

• Record Type: Book
• Further Information: Note: Dr. Tania Moulik.
• Authors: Moulik, Tania
• Contents: 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.
• Publisher Details: Birmingham : Packt Publishing Ltd
• Publication Date: 2018
• Extent: 1 online resource (135 pages)
• Subjects: 006.6; Information visualization; Visual analytics; R (Computer program language); Charts, diagrams, etc -- Computer programs; Charts, diagrams, etc -- Computer programs; Information visualization; R (Computer program language); Visual analytics; Electronic books
• Languages: English
• ISBNs: 9781789617672; 1789617677
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.