These are chat archives for FreeCodeCamp/DataScience
discussion on how we can use statistical methods to measure and improve the efficacy of http://freeCodeCamp.com
data.table, it's designed for really large datasets like over 10 GB. Otherwise,
dplyrshould be sufficient. Plus, it works well with other tidyverse packages.
dplyr. You can still use
data.tableobjects, I think. This is because this vignette (https://cran.r-project.org/web/packages/data.table/vignettes/datatable-reshape.html) uses
reshape2to reshape the data.