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
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When |
Thursday, Sep 26, 2019
at 10:00am
until 12:00pm
on Thursday, Sep 26, 2019
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