My wife and I worked on this as our first coding project together! She recently learned how to code and I recently started my software engineering career. It was a good creative outlet for us during these dark times.
We wanted to make a map that didn't feature large overlapping blood red circles everywhere and to give people a better sense of the geospatial data at a glance. We then wanted to show the curves at a more granular level, like the FT is doing so well now (https://www.ft.com/coronavirus-latest), so you can see an entity's curve by clicking on it's marker.
The UI is good wrt readability; but the statistics, not so much.
2 concrete improvements would be 1) to change the color coding to cases per population (right now it seems to simply be a hard cutoff of 100 for orange, 1000 for red--which makes comparisons between unequal-sized geographies misleading), and 2) show a smoothed version of the curves (e.g an exponential moving average or somesuch) to handle noisiness in the day to day data.
But, yeah, much easier to read when it isn't overlapping blood red circles.
Nice work! I’ve been looking for a visualization like this. My only feedback would be to make the non-cumulative view the default. Given the name of the site, it makes sense to highlight the flattening of the curve.
kahdojay|5 years ago
We wanted to make a map that didn't feature large overlapping blood red circles everywhere and to give people a better sense of the geospatial data at a glance. We then wanted to show the curves at a more granular level, like the FT is doing so well now (https://www.ft.com/coronavirus-latest), so you can see an entity's curve by clicking on it's marker.
Would love to hear your feedback!
anonobviosly|5 years ago
2 concrete improvements would be 1) to change the color coding to cases per population (right now it seems to simply be a hard cutoff of 100 for orange, 1000 for red--which makes comparisons between unequal-sized geographies misleading), and 2) show a smoothed version of the curves (e.g an exponential moving average or somesuch) to handle noisiness in the day to day data.
But, yeah, much easier to read when it isn't overlapping blood red circles.
(Update: typo)
adamstep|5 years ago