Cristian Petrescu-Prahova

Results 8 comments of Cristian Petrescu-Prahova

FYI, we've used vanilla virtualenv for a while in Euclid. It doesn't actually build self-contained python envs, instead base packages are inherited by the virtualenvs. This leads to arbitrary breakage...

For US state/county data, how about NYT repo: https://github.com/nytimes/covid-19-data ?

Rows: 1884 Columns: date, state, fips, cases, deaths [ {date: '2020-03-01', state: 'New York', fips: '36', cases: '1', deaths: '0'}, {date: '2020-03-02', state: 'New York', fips: '36', cases: '1', deaths:...

I'd be happy to. Though I see it already appearing in the https://coronadatascraper.com/#crosscheck for many [all?] counties. Perhaps you don't have it for state-level data?

Oh, I found NY at state level too: https://coronadatascraper.com/#crosscheck:iso2:US-NY-iso1:US. It appears the scrapper prefers the arcgis dataset for some reason. FWIW, looks like most recent data + deaths + tested...

Good to have the state level data fixed. We're still lacking county level data for NY fatalities [0]. The county level fatalities can be pulled from NYT [1] or USAFacts...

+1. We depend on a bunch of native libs and use the following incantation: ``` javaOptions ++= Seq(s"-Djava.library.path=$jepLibPath:$z3LibPath") fork in test := true fork in run := true ``` This...

I stumbled upon https://covid19tracker.health.ny.gov/views/NYS-COVID19-Tracker/NYSDOHCOVID-19Tracker-Fatalities?%3Aembed=yes&%3Atoolbar=no&%3Atabs=n, showing fatalities per NY county. NY fatality data is perhaps _the_ most interesting data out there right now, as it offers a lower bound of what...