Visualization in R with ggplot2

Brief Description:

R Project ggplot2 taught by its creator. This course teaches the "Grammar of graphics" in an elegant, efficient and systematic manner.

Instructor(s):
Level: Intermediate

Who Should Take This Course:

Statistical analysts who use R and need to create or modify graphs.

Dates:
July 20, 2012 to August 17, 2012
ggplot Click here to be reminded of future sessions of this course.

Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

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Visualization in R with ggplot2

Aim of Course:

In this course, participants will learn how to use the ggplot R Project to make, format, label and adjust graphs using R. The ggplot2 Project, created by Hadley Wickham, is named after the term "Grammar of Graphics," which was coined by Leland Wilkinson (creator of Systat). This "grammar of graphics" is a system of describing and organizing the fundamental components of a graph and the process of creating a graph. Using ggplot2, participants will learn how to design and implement graphs in an efficient, elegant and systematic manner, following principles of general good graphing practice.

Prerequisite(s):

While ggplot2 is a mini-language specifically tailored for producing graphics, you will need some familiarity with data handling in R before taking this course. For this, we recommend you take Introduction to R: Data Handling.

Course Program:

SESSION 1: Introduction to ggplot2

• How to create scatterplots
• How to add extra variables with aesthetics (like color, shape, and size) or facetting.

Data: fuel economy of US cars

 

SESSION 2: Graphics for Large Data

• Histograms and bar charts for displaying distributional summaries
• Boxplots
• Other techniques for overcoming overplotting with drawing scatterplots of large datasets

Data: prices and characteristics of 50,000 diamonds

 

SESSION 3: Transformations

• Group-wise summaries and transformations to add extra information to your plots
• How to visualize time series

Data: trends in US baby names over the last 120 years

 

SESSION 4: Polishing Your Plots

• Tweaking your plots for maximum presentation impact
• Introduction to color theory
• Labels, legends, and axes
• Tweaking the plot themes

Organization of the Course:

This course takes place over the internet, at statistics.com for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and you will receive individual feedback on your homework answers.

Credit:
Students come to The Institute for a variety of reasons:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Program in Advanced Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).

As you begin the class, you will be asked to specify your category.

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a record of course completion will be issued by Statistics.com, upon request.

Course Text:

The required text is "ggplot2: Elegant Graphics for Data Analysis" by Hadley Wickham, published by Springer. You may order it directly from the publisher here. Springer offers a 15% discount on this book after providing the code AECT15 (this code is case sensitive) in the Promotion Code field when prompted during checkout time if you are from North or South America. The same code will work for the rest of the world if you order from the North American site, but may result in longer ship time and higher ship cost (alternatively, you can buy from a local site with no discount.)

Software:

Participants should be familiar with and have access to R, and should download and install the ggplot2 Project before the course starts.

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Visualization in R with ggplot2

Instructor(s):
Dates:
July 20, 2012 to August 17, 2012
Course Fee: $499
Academic Discounted Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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