Abstract
Generalization is an extremely powerful concept when applied correctly. For example, in MATLAB even the most trivial addition is performed as a matrix addition. Data comes in many formats. Mostly these formats are not ready for analysis, so programmers, researchers, and data scientists often need to write a lot of data-wrangling code to get the data into a useful form. However, LINQ has changed the way programmers interact with data. LINQ works on the generalization that data is a list—of something. For example, you can think of a database table as a list of rows, an XML file as a list of nodes, a CSV file as a list of comma-delimited string arrays, and so on.
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© 2014 Sudipta Mukherjee
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Mukherjee, S. (2014). Exploratory Data Analysis. In: Thinking in LINQ. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-6844-4_8
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DOI: https://doi.org/10.1007/978-1-4302-6844-4_8
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4302-6845-1
Online ISBN: 978-1-4302-6844-4
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