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Processing Data in R and Python

  • Guy Lebanon
  • Mohamed El-Geish
Chapter

Abstract

There is no shortcut to knowledge; and there are no worthwhile data without preprocessing. In the first three sections of this chapter, we discuss situations that necessitate data preprocessing and how to handle them. In the final section we discuss how to manipulate data in general; specifically, how to manipulate data in R using the reshape2 and plyr packages and in Python using the pandas module.

References

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Guy Lebanon
    • 1
  • Mohamed El-Geish
    • 2
  1. 1.AmazonMenlo ParkUSA
  2. 2.VoiceraSanta ClaraUSA

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