November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Transformations
A thought-provoking type of data cleaning, which may be a new concept for a data developer, is data transformation. Data transformation is a process where the data scientist actually changes what you might expect to be valid data values through some mathematical operation.
Performing data transformation maps data from an original format into the format expected by an appropriate application or a format more convenient for a particular assumption or purpose. This includes value conversions or translation functions, as well as normalizing of numeric values to conform to the minimum and maximum values.
As we've used R earlier in this chapter, we can see that the syntax of a very simple example of this process is simple. For example, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.