Ecological modeler. Shiny developer. Tidyverse denizen. Scheme enthusiast.
This post is the second 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 selecting, dropping, and renaming columns.
As an exercise in my Chez Scheme learning journey, I have implemented a dataframe record type and procedures to work with the dataframe record type. Dataframes are column-oriented, tabular data structures useful for data analysis found in several languages including R, Python, Julia, and Go.
I have previously written about how to read and write JSON files in R and Racket. In re-reading that old post, I’m struck by how it shows me tinkering without understanding.