Comparing duckdb and duckplyr to tibbles, data.tables, and data.frames (CC279)

May 2, 2024 • PD Schloss • 1 min read • •

Watch along as Pat shows a variety of approaches for obtaining rows from data frames, data tables, tibbles, sparse matrices, and vectors and then compares their performance. Which do you think will be the most performant? You’ll likely be surprised by the results! This episode is part of an ongoing effort to develop an R package that implements the naive Bayesian classifier.

Code

You can browse the state of the repository at the

• beginning of the episode
• end of the episode