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R Data Analysis Cookbook - Second Edition by Kuntal Ganguly

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Correcting data

In practice, raw data is rarely tidy, and is much harder to work with as a result. It is often said that 80 percent of data analysis is spent on the process of cleaning and correcting the data.

In this recipe, you will learn the best way to correctly layout your data to serve two major purposes:

  • Making data suitable for software processing, whether that be mathematical functions, visualization, and others
  • Revealing information and insights

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