The Applied Data Visualization with R and ggplot2 is a one-day course that will equip you with the skills and knowledge required to apply ggplot2 to specific problems and obtain results quickly. You’ll learn the basic concepts of ggplot2 and the Grammar of Graphics through illustrative examples. You will then generate solutions for problems of incremental complexity as the course goes on. Lastly, you will master advanced plotting techniques that will enable you to add more detail and develop the quality of your graphics.

The ggplot2 is an open-source package for the R programming language that employs the concept of the Grammar of Graphics to help users build complex and aesthetic visualizations.

This is a fast-paced, practical course aimed at experienced developers and system architects. As you progress, you’ll find helpful tips and tricks, as well as useful self-assessment material, exercises, and activities to help you benchmark your progress and reinforce what you’ve learned. The activities have been devised to simulate real-world conditions in order to equip you with the necessary skills to accelerate software deployment while still maintaining security, portability, and affordability.

LESSON 1- BASIC PLOTTING IN GGPLOT2

• Introduction to ggplot2
• Geometric Objects
• The Grammar of Graphics

LESSON 2- THE GRAMMAR OF GRAPHICS AND VISUAL COMPONENTS

• More on the Grammar of Graphics
• Facets
• Changing Styles and Colors
• Geoms and Statistical Summaries

LESSON 3- ADVANCED GEOMS AND STATISTICS

• Advanced Plotting Techniques
• Time Series
• Maps
• Trends, Correlations, and Statistical Summaries

This course is meant for professionals who work with data and use R as part of their workflow. It also targets students who want to extend and enhance their data analysis skills by adding complex, informative, and professional visualizations. This course will not cover the basics of R commands and objects, so students are expected to have some familiarity with the R language.

Hardware:

For successful completion of this course, students will require computer systems with the following:

• Processor: Intel Core i5 or equivalent
• Memory: 4 GB RAM
• Storage: 35 GB available space

Software:

• Operating System: Windows 7 SP1 64-bit, Windows 8.1 64-bit, or Windows 10 64-bit
• Browser: Google Chrome (latest version)
• R (latest version)
• RStudio (latest version)

Installation and Setup

Before you start with this course, we’ll install R and RStudio. Here, you will find the steps to install these.

Installing R

1. To install the R package and libraries, go to http://cran.us.r-project.org/ in your browser.
2. Click on Download R for Windows, click on base, and then click on Download R 3.5.0 for Windows (or any newer version that appears).
3. Install R. Leave all default settings in the installation options as they are.

Installing RStudio

1. To install RStudio, go to http://rstudio.org/download/desktop .
2. Choose the default installation.
3. Open RStudio after installation. It uses the underlying R package and will open it automatically in the IDE: