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One of the most exciting packages in the R universe is data.table. This package allows you to create data.table objects as an alternative to data.frame. The benefit of using data.table is the speed and efficiency when working with large datasets, and a concise syntax that can be really easy to use once you get used to it.

After I started conducting data analysis in R, I quickly realized that making your code easily reproducible is one of the most important steps to improving your research workflow. Trust me, I learned some of these lessons the hard way.