Skip to content
This repository has been archived by the owner on Jan 16, 2024. It is now read-only.

7.3.Working with data in R

Seongjoo Brenden Song edited this page Nov 8, 2021 · 2 revisions

The R programming language was designed to work with data at all stages of the data analysis process. In this part of the course, you’ll examine how R can help you structure, organize, and clean your data using functions and other processes. You’ll learn about data frames and how to work with them in R. You’ll also revisit the issue of data bias and how R can help.

Learning Objectives

  • Discuss how R functions may be used to address issues of bias and relationship between data variables
  • Describe R functions that may be used to clean and organize data
  • Describe functions used to work with data frames including read_csv(), data(), and datapasta()
  • Discuss the difference between tibbles and tribbles
  • Compare and contrast data cleaning with different tools
  • Create and work with data in R

Clone this wiki locally