IS&T RCS Tutorial - Analysis of Large Datasets Using R’s Data.table

The R data.table package is known for its efficient handling of large datasets and low memory usage compared to similar functions in other packages. In many cases it might significantly decrease the time your code needs to execute. This tutorial will introduce you to the utilities in this package, including: data query basic aggregate/update operations data subsetting, data updating by reference set() utilities indexing and fast joins