May 2018
Beginner to intermediate
364 pages
7h 43m
English
Content preview from Hands-On Data Science with Anaconda
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The AppliedPredictiveModeling R package
This package includes many useful datasets that can be used for this chapter and others. The easiest way to find those datasets is with the help() function, shown here:
>library(AppliedPredictiveModeling) >help(package=AppliedPredictiveModeling)
The following table shows the datasets included in this package:
|
Data (name)
|
Names of dataset(s)
|
Explanation
|
|
abalone |
abalone |
Abalone data |
|
bio |
bio |
Hepatic injury data |
|
bookTheme |
bookTheme |
Lattice themes |
|
cars2010,cars2011, and cars2012 |
cars2010,cars2011, cars2012 |
Fuel economy data |
|
chem |
chem |
Hepatic injury data |
|
ChemicalManufacturingProcess |
ChemicalManufacturingProcess |
Chemical manufacturing process data |
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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.