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useR! 2024
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In Person & Virtual
8 - 11 July, 2024
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Monday, July 8 • 09:00 - 12:30
Tutorial: Efficient Data Analysis with Data.Table - Paola Corrales, R-Ladies/rOpenSci/Carpentries & Elio Campitelli, Universidad de Buenos Aires

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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.

Speakers
avatar for Elio Campitelli

Elio Campitelli

Lic, Universidad de Buenos Aires
I’m a PhD student in atmospheric sciences at the Centre for Ocean and Atmospheric Research, where I study the atmospheric circulation in the Southern Hemisphere and how it affects the weather in South America. I’m also the maintainer for several R packages and give courses.
avatar for Paola Corrales

Paola Corrales

PhD, R-Ladies/rOpenSci/Carpentries
Paola has a PhD in Atmospheric Science and has experience working with Numerical Weather Prediction models using HPC systems and programming languages such as R, bash, and Fortran. She is an active R user and developer and contributes to many communities, such as R-Ladies and rOpenSci... Read More →


Monday July 8, 2024 09:00 - 12:30 CEST
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