Data Wrangling and Management in R

This tutorial explores how scholars can organize 'tidy' data, understand R packages to manipulate data, and conduct basic data analysis. By the end of this lesson, you will: 1. Know how to organize data to be “tidy” and why this is important. 2. Understand the dplyr package and use it to manipulate and wrangle with data. 3. Become acquainted with the pipe operator in R and observe how it can assist you in creating more readable code. 4. Learn to work through some basic examples of data manipulation to gain a foundation in exploratory data analysis