In recognition of Cicadaggedon 2024, I have reimplemented my decade-old data visualization showing cicadas across U.S. states in different years. Unlike the original, which was in Processing and thus inconvenient for people to run on their own computers, this version runs in a web browser and uses its native SVG rendering capabilities, alongside vanilla HTML, CSS, and JavaScript.

The original version does a bunch of data processing at the start of every run of the program, specifically aggregating all the data points into per-state totals. This processing is identical in every run, so in this updated version, I do this processing ahead of time with a C++ program I wrote. This C++ program outputs a JSON file with the per-state totals, which is then read by the data visualization program instead of the original data. The C++ program includes a use of recursive templates (to generalize something over N dimensions) and a hand-rolled JSON serializer with an imperative API.

I have attempted to make the app accessible to screen readers, though I have not been able to test it as I don't have a computer right now. I have also made the layout of the page responsive across varying screen sizes, with both a "mobile" layout and a "desktop" layout. The implementation is simple and straightforward, yet modern, using technologies like CSS Flexbox and ES6 language features.

For those looking at the commit logs, I do know how to use git add to add multiple files to a single commit, but I don't have a computer, so I programmed this on my smartphone and used the GitHub web UI to make my commits, which doesn't support multiple files per commit.