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Chapter 2: Dealing with Dates, Strings, and Data Frames

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Abstract

The world of data and data analytics is changing rapidly. Data analysts are facing major issues related to the use of larger datasets, including cloud computing and the creation of so-called data lakes, which are enterprise-wide data management platforms consisting of vast amounts of data in their original format stored in an single unmanaged and unstructured location available to the entire organization. This flies in the face of the carefully structured and highly managed data most of us have come to know and love.

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© 2015 Dr. Joshua F. Wiley and the estate of Larry A. Pace

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Wiley, J.F., Pace, L.A. (2015). Chapter 2: Dealing with Dates, Strings, and Data Frames. In: Beginning R. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0373-6_2

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