18 comments

[ 2.5 ms ] story [ 43.2 ms ] thread
Looks cool but what does it actually produce? Graphs? In what format? Images?

The readme could be a bit more clear in what it actually does, but it looks super interesting!

It creates a time series dataset and a summary stats excel report that shows the daily counts, averages, moving averages, deltas, and more (see this excel sheet https://github.com/AaronWard/covid-19-analysis/blob/master/r...)

also, it generates visualizations for 4 attributes - confirmed cases - currently infected - recoveries - deaths

Thanks very much for the feedback :)

Why not just make a website?
Well it can probably be deployed on one. Its a talent showcase thats interesting to others.
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.
(comment deleted)
I will look into it, if you want could you add it to the issues what exactly you suggest and ill add it to the kanban board :)
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'

¯\_(ツ)_/¯ oh well

Are you using a conda environment?
No, pip everywhere
Check where you have pandas and covidify installed and make sure they are in the same site-packages.

ps: pip is just a package manager, you should really consider using conda for creating environments (it will make your life a lot easier)