This document discusses various tools for data visualization, including D3.js, WebGL, the ELK stack, R, Processing, Open Refine, and 3D printing. It provides examples of visualizations created with each tool and suggests when each tool may be best to use. D3.js is described as a low-level library that provides full control but requires more work, while tools like the ELK stack allow for quickly visualizing system and business data. R is presented as useful for exploring and analyzing large datasets, and Open Refine is recommended for cleaning and preparing CSV files for export.