R for Data Science: Part 2

The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying, analyzing, and publishing data in R.

Day 2 (clean and tidy data)

Students will be introduced to DRY principles and best practices for sanitizing and tidying data. Students will learn what missingness is, and how best to accommodate missing data in their research designs. Students will be able to read in files from disk or a database, clean the data found within them, select specific data from them, and merge them with other datasets.