Chapter 2. Preparing for Analysis – Data Cleansing and Manipulation

In this chapter, we will cover the following topics:

  • Getting a sense of your data structure with R
  • Preparing your data for analysis with the tidyr package
  • Detecting missing values
  • Substituting missing values by interpolation
  • Detecting and removing outliers
  • Performing data filtering activities