Visualizing Scheme library procedures with an interactive network graph in R
As a learning exercise, I wrote a dataframe
library for Scheme. Because I was learning Scheme while I wrote dataframe
, I did not prioritize performance. However, as I've tried to use the dataframe
library (exploratory data analysis, spam simulation, gapminder), I've encountered performance pitfalls that make dataframe
largely unusable for datasets with more than a few thousand rows. I have a rough idea of where the bottlenecks are, but I thought it would be a useful to take a step back and visualize the dataframe
procedures as a network graph.