Please join me in congratulting our new data.table Ambassador: Paola Corrales!
Paola is a professor teaching Data Science at Guillermo Brown University in Argentina, a developer of R packages and teaching materials, and a leader of the LatinR community. She has used data.table in her research work for over 6 years, and is an active participant in many Spanish translation projects for data.table and other R packages. You can find more of her projects, teaching, and blog posts - in Spanish and English - at https://paocorrales.github.io/. Find her on Mastodon at fosstodon.org/@jangorecki to say congratulations, or chat about all things data.table.
Talks
As part of his Ambassador role, Paola will be conducting a pre-conference tutorial at the 2024 UseR! meetings in Salzburg, Austria.
Efficient Data Analysis with data.table
data.table is one of the most efficient open-source in-memory data manipulation packages available today. It can summarise, compute new variables, re-arrange tables and perform group-wise operations quickly, and memory efficiently thanks to its highly optimised C code. It also provides fast alternatives to base R functions for reading and writing files. This three-hour tutorial will introduce participants to data.table’s basics. Through live coding sessions and hands-on exercises, participants will learn how to use data.table as part of their data analysis pipeline; from reading data into memory to writing the results back, including exploration, data manipulation and joins. The tutorial will also lay the foundations for learning more advanced features, such as special symbols and combined operations. We will finish the tutorial with an invitation to join the data.table community and learn how to contribute to the package.
Become an Ambassador
Do you have ideas for talks about data.table? Do you want to be part of this new community movement? Apply now for the data.table Ambassadors Grant to fund conference travel for presentations related to data.table. More details on the Ambassadors program at this blog post, and more details on the grant project itself are here.
Questions? Email r.data.table@gmail.com with any and all questions!
