Using and contributing to the data.table package for efficient big data analysis

Last updated on Jun 2, 2025 1 min read HappyR, workshop

Dans cet atelier, Toby Dylan Hocking, Professeur Agrégé, UdeS Département d’Informatique nous a présenté le package R {data.table}.

Résumé :

{data.table} is one of the most efficient open-source in-memory data manipulation packages available today. First released to CRAN by Matt Dowle in 2006, it continues to grow in popularity, and now over 1500 other CRAN packages depend on data.table. This talk will start with data reading from CSV, discuss basic and advanced data manipulation topics, and finally will end with a discussion about how you can contribute to {data.table}.

Et tous les liens utiles :

Package Documentation: http://r-datatable.com/
Links to tutorial source code and slides: https://github.com/tdhock/2023-10-LatinR-data.table
Installation instructions : any version of R should work. Make sure you can install.packages("data.table") and that should be all!
Vignette d’introduction en français: https://rdatatable.gitlab.io/data.table/articles/fr/datatable-intro.html

install.packages("data.table")
data.table big data
rédacteur

Related