yarn fails with: The engine "node" is incompatible with this module.

$ yarn
yarn install v1.22.4                                                                
[1/5] Validating package.json...                                                    
error @2.0.0: The engine "node" is incompatible with this module. Expected version "12.13.1". Got "12.16.1"
error Found incompatible module.                                                    
info Visit https://yarnpkg.com/en/docs/cli/install for documentation about this command.

I found that the version is hardcoded in package.json. Do you know how to instruct apt-get to install the exact version of nodejs specified in package.json?

[danielgavrilov]

@abitrolly Yes I’m interested to know that too, it just hasn’t been a priority to find out.

The WHO now publishes a dashboard that exposes a JSON file that should be easy to parse: https://dashboards-dev.sprinklr.com/data/9043/global-covid19-who-gis.json

And Johns Hopkins still have their stable CSVs: https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

You can find our data transformation for the Johns Hopkins dataset in our Jupyter Notebook: https://github.com/owid/covid-19-data/blob/master/scripts/notebooks/jh_generate.ipynb

I think it requires aggregating some regions into countries, which we last recorded a while ago in a spreadsheet that may need to be updated.

Anyway, let us know if you get around to this! We’d be curious what the differences are.

[abitrolly]

@danielgavrilov if the diagram could be used from Jupyter Notebooks directly, it would solve all my DevOps problems. ) While it’s possible to use matplotlib for that, its interface and parametrization is far from being friendly for developers who are not scientists.