https://www.r-econometrics.com/tags/data.table/ Recent content in Data.table on r-econometrics Hugo en-us Sat, 05 Sep 2026 00:00:00 +0000 https://www.r-econometrics.com/rbasics/datatableintro/ Sat, 05 Sep 2026 00:00:00 +0000 https://www.r-econometrics.com/rbasics/datatableintro/ <p>The cleaning and transformation of data belong to the most time consuming parts of any economic analysis. Many graphical or statistical functions in R require specifically formatted data to work properly. Although the standard functions of R can be used to prepare your data for further analysis, some people find them a bit laborious for daily applications. Therefore, alternatives have been developed, which make data transformation in R easier and also faster. One of these alternatives is the <code>data.table</code> package. It is known for its very concise syntax and for its excellent performance on large data sets, which is why it is a popular choice whenever speed and memory consumption matter.<a href="#fn1" class="footnote-ref" id="fnref1">¹</a> In the following I give an introduction to the main elements of the <code>data.table</code> syntax. It covers the same operations as my <a href="https://www.r-econometrics.com/rbasics/dplyrintro">introduction to <code>dplyr</code></a>, so that both approaches can be compared directly.</p>