Week 4: Data Wrangling with dplyr

Now that we are getting more comfortable using ggplot2 to visualize data, we are going to turn our attention to data wrangling. Data wrangling is the process of transforming and organizing raw data into a form that is appropriate for exploration, visualization, and analysis. It is the bread and butter of data science, and learning to wrangle data efficiently is an essential skill. This week, we will work with the dplyr package to select, filter, arrange, modify, and summarize data.

Background Tutorials/Readings for this week:

• Complete the Introductory dplyr Tutorial posted to Class Workspace on Posit Cloud (before class on Tuesday, 9/22)
• Reading: Chapter on Transforming Data with dplyr (before class on Thursday, 9/24)

Assignments for this week:

• Individual Assignment#2 (Due: Target Deadline 9/27 at midnight/Submission Deadline 9/28 at midnight)