Data Manipulation

  • Thomas Mailund


Data science is as much about manipulating data as it is about fitting models to data. Data rarely arrives in a form that we can directly feed into the statistical models or machine learning algorithms we want to analyze them with. The first stages of data analysis are almost always figuring out how to load the data into R and then figuring out how to transform it into a shape you can readily analyze. The code in this chapter, and all the following, assumes that the packages magrittr and ggplot2 have been loaded (just to avoid explicitly doing so in each example).


Cell Size Machine Learning Algorithm Data Frame Data Manipulation Cell Thickness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Thomas Mailund 2017

Authors and Affiliations

  • Thomas Mailund
    • 1
  1. 1.AarhusDenmark

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