Building Interactive Graphs with ggplot2 and Shiny – Packt Publishing

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Building Interactive Graphs with ggplot2 and Shiny

Build stunning graphics and interactive visuals for real-time data analysis and visualization with ggplot2 and Shiny

Build stunning graphics and interactive visuals for real-time data analysis and visualization with ggplot2 and Shiny

About This Video

Generate complex interactive web pages using R and produce publication-ready graphics in a principled manner

Use aesthetics effectively to map your data into graphical elements

Customize your graphs according to your specific needs without wasting time on programming issues

In Detail

Ggplot2 is one of R’s most popular packages, and is an implementation of the grammar of graphics in R, which is a powerful tool for performing statistical analyses and drawing publication-quality graphics.

This course helps you move beyond the default graphics offered by R and shows you how to start making elegant and publication-ready plots. It equips you with a good command over ggplot 2 to build sophisticated and interactive graphs that suit your own data requirements.

This practical course shows you how to build statistical plots layer by layer by following along with the examples provided. You’ll first get familiar with the basics of ggplot2 by understanding the use of the building blocks of standard statistical plots and see how you can combine elements to make new graphics. Next, you’ll learn how to customize your graphs, and finally you’ll explore how to make interactive webpages to present your work or analyze your data.

Course Curriculum

Getting Started with ggplot2

• Setting Up ggplot2 (2:50)
• Understanding the Structure of a Plot (3:21)
• Mapping Data to Graphical Elements with Aesthetics (3:01)
• Understanding Some Subtleties with Aesthetics (3:01)
• Using ggplot2 in Scripts (2:47)

Understanding Basic Plots

• Drawing Lines (2:28)
• Drawing Paths (1:46)
• Bar Charts (2:00)
• Histograms and Density Plots (2:47)
• Using Boxplots (2:33)

Using Conditional Plots

• Using Group and Color (2:07)
• Using Size and Color (1:57)
• Over Plotting Many Points with Jitter (2:06)
• Faceting with One Variable (1:39)
• Faceting with Two Variables (1:43)

Using Statistics in Our Plot

• Linear Trends (1:56)
• Non-linear Trends (1:53)
• User-Defined Function (1:46)
• BigVis: Visualizing Big Data (2:10)
• BigVis: Smoothing Plots and Peeling Data (2:04)

Customizing Your Graphs

• Controlling the Axes (2:18)t
• Ordering Variables (1:54)
• Customizing the Color Palette for Categorical Variables (2:01)
• Customizing the Color Palette for Continuous Variables (2:48)
• Customizing the Axes Labels and the Legends (2:17)

Shiny – Part 1

• Creating Interactive Web Pages with Shiny (1:48)
• Understanding the Structure of a Shiny App (3:53)
• Rendering Text (2:46)
• Understanding Reactive Programming (3:54)
• Using a Button to Avoid Frequent Updates (2:18)

Shiny – Part 2

• Creating and Using Tabs (2:10)
• Scoping (2:52)
• Uploading a File (2:03)
• Downloading a File (2:15)
• Sharing Your Work (3:06)

Putting Everything Together

• Designing an Interactive Dashboard (2:11)
• Building a Time Series Plot (2:39)
• Making a Bubble Chart in ggplot2 (2:18)
• Making Conditional Panels (2:27)
• Building the Dashboard (2:44)

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