It preprocesses the datasource into a time series dataset. So i guess this would be more useful for data science people and ml engineers rather than the average joe
For weeks I've been hoping to find a way to quickly compare log-plots of numbers infected (optionally normalized to population size) for different countries. IMO the best way to look at world-wide spread, but doesn't seem to be available anywhere. Would be a great addition to this.
Am I the only one who can't get this damn thing to run on macOS 10.14, Debian testing, or SL7-rolling? Despite pandas being installed I still get 'ImportError: No module named pandas'
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[ 2.5 ms ] story [ 43.2 ms ] threadThe readme could be a bit more clear in what it actually does, but it looks super interesting!
also, it generates visualizations for 4 attributes - confirmed cases - currently infected - recoveries - deaths
Thanks very much for the feedback :)
It shows global trend lines, and per-country + per-region data.
That said, nice job to OP.
¯\_(ツ)_/¯ oh well
ps: pip is just a package manager, you should really consider using conda for creating environments (it will make your life a lot easier)