Data Wrangling with R – September 2021

Event Phone: 1-610-715-0115

We're sorry, but all tickets sales have ended because the event is expired.

There are no upcoming dates for this event.


Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).
In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.
A 3-Day Remote Seminar Taught by Kieran Healy, Ph.D.

R is a free and open-source package for statistical analysis that is widely used in the social, health, physical, and computational sciences. R is powerful, flexible, and has excellent graphics capabilities. It also has a large and rapidly growing community of users.

Although there are a variety of approaches to working with data in R, in recent years, the “tidyverse” has emerged as a cohesive and consistent approach to the everyday tasks of data wrangling and analysis. The tidyverse is a suite of tools for data management, manipulation, analysis, and visualization within the R software environment for statistical computing. This seminar provides an intensive, hands-on introduction to using tidyverse tools for doing your own work.

The course is not focused on particular statistical methods or modeling techniques. Rather, we will learn how to accomplish everyday tasks that statistical analysis depends on but which are rarely taught in detail in their own right. These include topics such as getting your own data into R, exploring the structure of your data, recoding variables and reshaping tables, and presenting summary tabulations and graphs of this work.

Throughout the course we will emphasize how R and the tidyverse “thinks”. Every dataset is different, especially at the stage where it still needs further cleaning or arranging before it can be easily analyzed or effectively presented. This course will teach you the logic and implicit “flow of action” behind the tidyverse’s tools, giving you the ability to apply and extend this way of thinking when working with your own data and its particular challenges.

Venue: