[R] COVID-19 datasets...

[Deepayan Sarkar]

On Thu, May 7, 2020 at 12:58 AM Thomas Petzoldt <thpe using simecol.de> wrote:
>
> Sorry if I'm joining a little bit late.
>
> I've put some related links and scripts together a few weeks ago. Then I
> stopped with this, because there is so much.
>
> The data format employed by John Hopkins CSSE was sort of a big surprise
> to me.

Why? I find it quite convenient to drop the first few columns and
extract the data as a matrix (using data.matrix()).

-Deepayan

> An opposite approach was taken in Germany, that organized it as a
> big JSON trees.
>
> Fortunately, both can be "tidied" with R, and represent good didactic
> examples for our students.
>
> Here yet another repo linking to the data:
>
> https://github.com/tpetzoldt/covid
>
>
> Thomas
>
>
> On 04.05.2020 at 20:48 James Spottiswoode wrote:
> > Sure. COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University is available here:
> >
> > https://github.com/CSSEGISandData/COVID-19
> >
> > All in csv fiormat.
> >
> >
> >> On May 4, 2020, at 11:31 AM, Bernard McGarvey <mcgarvey.bernard using comcast.net> wrote:
> >>
> >> Just curious does anyone know of a website that has data available in a format that R can download and analyze?
> >>
> >> Thanks
> >>
> >>
> >> Bernard McGarvey
> >>
> >>
> >> Director, Fort Myers Beach Lions Foundation, Inc.
> >>
> >>
> >> Retired (Lilly Engineering Fellow).
> >>
> >> ______________________________________________
> >> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> >>
> >
> > James Spottiswoode
> > Applied Mathematics & Statistics
> > (310) 270 6220
> > jamesspottiswoode Skype
> > james using jsasoc.com
> >
> >
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> and provide commented, minimal, self-contained, reproducible code.