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.
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Notes
- 1.
We use the asterisk in a*ply and elsewhere to indicate a collection of functions obtained by substituting the asterisk with other characters.
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Lebanon, G., El-Geish, M. (2018). Processing Data in R and Python. In: Computing with Data. Springer, Cham. https://doi.org/10.1007/978-3-319-98149-9_9
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DOI: https://doi.org/10.1007/978-3-319-98149-9_9
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