Covidify – corona virus report generator (Python)

ereyes01 6 years ago |

This is also a good chart: https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594...

It shows global trend lines, and per-country + per-region data.

That said, nice job to OP.

AaronWard 6 years ago | |

Thanks very much :))

svara 6 years ago |

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.

AaronWard 6 years ago | |

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 :)

ecmascript 6 years ago |

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!

AaronWard 6 years ago | |

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 :)

neelance 6 years ago |

Here's another chart I built: https://observablehq.com/@neelance/corvid-19-trends (Yes, typo in the url, can't change it...)

theodric 6 years ago |

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

AaronWard 6 years ago | |

Are you using a conda environment?

theodric 6 years ago | | |

No, pip everywhere

AaronWard 6 years ago | | |

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)

Feuilles_Mortes 6 years ago |

Why not just make a website?

idclip 6 years ago | |

Well it can probably be deployed on one. Its a talent showcase thats interesting to others.

AaronWard 6 years ago | |

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

mkhpalm 6 years ago |

Would be neat if this could also show the same data for the flu.

AaronWard 6 years ago | |

Do you know of any datasources to integrate flu statistics?

mkhpalm 6 years ago | | |

Not sure where the raw data is but there seems to be various things here: https://www.cdc.gov/flu/weekly/index.htm