9 Overview

In the last module we discussed general guidelines for first interacting with a new data set. In module 3 we want to build on those activities by learning how to clean and tidy our data, and then begin our journey to creating insights with data through data manipulation.

9.1 Learning objectives

By the end of this module you should be able to:

• Explain the basic concepts of “tidy” data.
• Perform data tidying tasks with R such as reshaping, splitting, and combining data along with handling missing values.
• Manipulate your data by applying filters, selecting and renaming columns, creating new variables, and more.
• Compute descriptive statistics across all observations and within different grouped levels of observations.

9.2 Estimated time requirement

The estimated time to go through the module lessons is about:

• Reading only: 3 hours
• Reading + videos: 4.5 hours

9.3 Tasks

• Work through the 3 module lessons.
• Upon finishing each lesson take the associated lesson quizzes on Canvas. Be sure to complete the lesson quiz no later than the due date listed on Canvas.
• Check Canvas for this week’s lab, lab quiz due date, and any additional content (i.e. in-class material)