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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