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El Potaeto 2015-03-08 00:02:14 +01:00
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R-package/vignettes/discoverYourData.Rmd
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@ -53,7 +53,7 @@ Conversion from categorical to numeric variables
### Looking at the raw data
In this Vignette we will see how to transform a *dense* dataframe (*dense* = few zeroes in the matrix) with *categorical* variables to a very *sparse* matrix (*sparse* = lots of zero in the matrix) of `numeric` features.
In this Vignette we will see how to transform a *dense* `data.frame` (*dense* = few zeroes in the matrix) with *categorical* variables to a very *sparse* matrix (*sparse* = lots of zero in the matrix) of `numeric` features.
The method we are going to see is usually called [one-hot encoding](http://en.wikipedia.org/wiki/One-hot).
@ -64,7 +64,7 @@ data(Arthritis)
df <- data.table(Arthritis, keep.rownames = F)
```
> `data.table` is 100% compliant with **R** dataframe but its syntax is very consistent and its performance is really good.
> `data.table` is 100% compliant with **R** `data.frame` but its syntax is very consistent and its performance is really good.
The first thing we want to do is to have a look to the first lines of the `data.table`: