June 2013
Beginner
290 pages
10h 35m
English
Content preview from Applying Analytics
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130 Applying Analytics: A Practical Introduction
FIGURE 6.2
Average daily temperatur e in Nairobi, Kenya, from 1 January 1995 to 24
December 2006.
are correlated knowing the value of one data set gives you some predictive
power over the other. For example, height and weight are correlated – if I
knew a per son’s height, I could guess their weight with more accuracy than if
I had no information. The correlation isn’t p e rfect, however, because there is
a wide range of possible weights for any given height.
Identifying correlations between two data sets is simple, in principle. When
ψ increases, does φ do the same? What about when ψ decreases? The answers ...
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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.