November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Bounded problems
The first challenge is deciding on a window, and what size window we need to accommodate to make sense of the incoming data. By window, we mean storing the last n data points. For streaming data, it is rare to actually process records one at a time. One of the most common ways to process streaming data is to process them in a window. This can either bundle data points into a group and process them as a unit or it can be a changing group of n data points (or x time) where older records are discarded and newer records added.
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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.