A recreation/extension of a color-adjusted US electoral map as described in this blog post and the follow-up post.
Using HSL color theory to create a county map of the 2020 US Presidential election (2016 in the original post), to give a clearer, more accurate impression of population density and margin of victory.
The goal is to not only recreate the map from the original blog post, but also to extend it to all US Presidential elections based on publicly available election data, and potentially adding analysis over time of which counties with low margins of victory have the largest effect on winning a state, and even account for effects from third-party candidates.