Company
Date Published
Author
Ryan Mannion
Word count
712
Language
English
Hacker News points
None

Summary

An interactive map created by Josh Katz and his team at The New York Times offers a detailed geographical visualization of Democratic fundraising data, highlighting the variations in candidate support across different regions. The team processed the Federal Election Commission data using Python scripts to produce a clean CSV file, which was then used to map donors based on ZIP code centroids for efficiency. They opted for an Albers projection instead of the usual Mercator to minimize spatial distortion and included separate projections for Alaska, Hawaii, and Puerto Rico. While this new approach required additional steps, such as creating custom layers for state boundaries and cities, the team successfully utilized tools like Dirty Reprojectors, R, mapshaper, and Tippecanoe to achieve the desired outcome. Katz acknowledged that while creating such visualizations without tools like Mapbox would have been more challenging, it would still have been possible with collaboration and additional expertise.