7 ms·

Covidify – corona virus report generator (Python)

44 points by AaronWard 7y ago

ecmascript 7y 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 7y 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/reports/report_2020-03-09.xlsx 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 :)
Feuilles_Mortes 7y ago
Why not just make a website?
- idclip 7y ago
  Well it can probably be deployed on one. Its a talent showcase thats interesting to others.
- AaronWard 7y 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
svara 7y 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.
- deleted 7y ago
  [deleted]
- AaronWard 7y 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 :)
ereyes01 7y ago
This is also a good chart: https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 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 7y ago
  Thanks very much :))
mkhpalm 7y ago
Would be neat if this could also show the same data for the flu.
- AaronWard 7y ago
  Do you know of any datasources to integrate flu statistics?
  - mkhpalm 7y ago
    Not sure where the raw data is but there seems to be various things here: https://www.cdc.gov/flu/weekly/index.htm https://www.cdc.gov/flu/weekly/index.htm
neelance 7y ago
Here's another chart I built: https://observablehq.com/@neelance/corvid-19-trends https://observablehq.com/@neelance/corvid-19-trends (Yes, typo in the url, can't change it...)
theodric 7y 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 7y ago
  Are you using a conda environment?
  - theodric 7y ago
    No, pip everywhere
    - AaronWard 7y 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)

44 points by AaronWard 7y 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 7y 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/reports/report_2020-03-09.xlsx 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 :)

Feuilles_Mortes 7y ago

Why not just make a website?

idclip 7y ago
Well it can probably be deployed on one. Its a talent showcase thats interesting to others.
AaronWard 7y 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

svara 7y 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.

deleted 7y ago
[deleted]
AaronWard 7y 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 :)

ereyes01 7y ago

This is also a good chart: https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 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 7y ago
Thanks very much :))

mkhpalm 7y ago

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

AaronWard 7y ago
Do you know of any datasources to integrate flu statistics?
- mkhpalm 7y ago
  Not sure where the raw data is but there seems to be various things here: https://www.cdc.gov/flu/weekly/index.htm https://www.cdc.gov/flu/weekly/index.htm

neelance 7y ago

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

theodric 7y 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 7y ago
Are you using a conda environment?
- theodric 7y ago
  No, pip everywhere
  - AaronWard 7y 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)