June 2019
Beginner to intermediate
360 pages
10h 55m
English
Content preview from Big Data Simplified
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Working with Big Data inR | 219
8.3.3
data.table
Package
The package data.table has extremely fast data processing capabilities. It extends the data.frame
object of traditional R but makes it extremely fast in terms of data transformation, aggregation,
subset generation, etc. Let’s do a quick check to see the extent to which data.table functions are
faster than traditional R functions or for that matter the functions from ff and ffbase packages.
Let’s start with the same data import operation for the credit card data. The fread() function of
data.table package imports data through the fast le reader.
> library(data.table)
>dt_ccard<- fread(“creditcard.csv”, stringsAsFactors = TRUE)
Read 284807 rows and 31 (of 31) columns from 0.140 ...
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