Data Wrangling in R

"Data Wrangling" is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. This course teaches wrangling skills using the tools of the tidyverse. The tidyverse is a collection of R packages that are designed to make it easier to work with data. The ggplot2 package is just one example of the highly regarded tools in the tidyverse.

This course will cover importing data, cleaning data, creating and transforming variables, merging data, and plotting. It is a hands on class with time devoted to practicing using these tools to ready data for analysis. It is designed to prepare you to do research using R and the tidyverse.

While it is designed for people who have no experience with R, veteran R users who would like to learn the tidyverse will also benefit from the class. Graduate students who will work in R may choose to take this course at the beginning of their graduate student career or wait until they're ready to start doing research.

Instructor: Hemken
Room: 3218 Sewell Social Sciences Building
Dates: 1/13, 1/14, 1/15, 1/16, 1/17
Time: 12:30 - 4:30

Each session of this class builds on the material taught in the previous sessions. If you cannot attend all of the class's sessions but still want to take the class, you must contact the Help Desk, find out what will be covered in the session(s) you will miss, and learn that material on your own before the next session. In most cases the material can be found in the SSCC Knowledge Base.