September 2015
Beginner to intermediate
608 pages
13h 43m
English
Content preview from Clojure for Data Science
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Chapter 3. Correlation
"The more I learn about people, the better I like my dog." | ||
| --Mark Twain | ||
In previous chapters, we've considered how to describe samples in terms of summary statistics and how population parameters can be inferred from them. Such analysis tells us something about a population in general and a sample in particular, but it doesn't allow us to make very precise statements about individual elements. This is because so much information has been lost by reducing the data to just two statistics: the mean and standard deviation.
We often want to go further and establish a relationship between two or more variables or to predict one variable given another. This takes us into the study of correlation and regression. Correlation concerns ...
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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.