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(PART*) Cleaning Data {-}

Cleaning Data

Data Science Process

Learning Objectives

You have already learned about what tidy data is, why it is important, and how to tidy up a dataset in the main Data Trail course (see here for a refresher). After completing this section, you will be able to:

  • Reshape a dataset from long to wide or vice versa
  • Tidy an existing dataset
  • Merge data from different data types
  • Manipulate string data
  • Manipulate factor data
  • Manipulate dates
  • Use good practices for managing your project files