Data Scientist. Shiny Developer. Tidyverse Denizen. Scheme Enthusiast.
As an impatient person, I typically use progress bars for any code that takes more than a few minutes to run. In a previous post, I wrote about creating ASCII progress bars in R and Racket.
One of the advantages of open source software is being able to view, review, and learn from source code. Both R and Chez Scheme provide tools for accessing source code.
This post is the fourth in a series on the dataframe library for Chez Scheme. In this post, I will contrast the dataframe library with functions from the dplyr R package for filtering, partitioning, and sorting dataframes.