> On 16-03-2020, at 12:38, Hernán Morales Durand <[hidden email]> wrote:
>
> Thank you Alexandre, I've been asking myself how to do it in Roassal3 in a better way as you did!!
> Cheers,
>
> Hernán
>
> El lun., 16 mar. 2020 a las 12:31, Alexandre Bergel via Pharo-users (<[hidden email]>) escribió:
> Hola,
>
> Here is a script, for which I hope some of you will find useful.
> The script of today visualize the number of infected and allows for an easily (and very basic) comparison. First, you need Roassal3 and DataFrame. Here is the code:
>
> -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
> Metacello new
>     baseline: 'Roassal3';
>     repository: 'github://ObjectProfile/Roassal3';
>     load.
> Metacello new
>   baseline: 'DataFrame';
>   repository: 'github://PolyMathOrg/DataFrame:v2.0/src';
>   load.
> -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
> Then, evaluate the Pharo code available on:
>
> -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
> https://gist.github.com/bergel/6ebcde9696ef922f2b519c56a4520bac
> -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
>
>
> You should then see the following:
> <PastedGraphic-6.png>
>
> Change the names of the countries to see what you are interested in.
>
> Stay safe
> Alexandre
> --
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> Alexandre Bergel  http://www.bergel.eu
> ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
>
>
>