Visidata: A small announcment: a VisiData introductory guide in Italian

[aborruso]

Hi @saulpw and @anjakefala I have written the first release of a VisiData introductory guide in Italian :)

I discovered this instrument and I loved it: I think it's important to make it known in my country (and everywhere).

I have put it in a github repo and this is the first release of the text.

Tomorrow I will announce it in a Medium blog post. I think I can activate good "word of mouth" in italian open data community (VisiData could be a good tool for open data tasks).

The text of my guide is very inspired by the great work of @jsvine.

I would like to be able to do better and more, but I hope it can still be useful.

Please do not anticipate it. Tomorrow I will announce it on twitter (and I will write also a note here).

Best regards

[aborruso]

This is the right URL of the guide https://github.com/ondata/guidaVisiData/blob/master/testo/README.md

[jsvine]

Neat! And thank you for the very kind words!

[saulpw]

This is awesome, @aborruso! Thank you so much for using your enthusiasm to spread the word about VisiData. I think your tutorial turned out really well, too (from what I can read in google translate).

[saulpw]

@aborruso, I read through the translated guide, and I thought of a couple of (very minor) points:

• under Pivot Table, maybe it would be good to note that all aggregators on the pivoted column will be created too.
• under Python modules, maybe note that setting the type with @ and then =data_immatricolazione.month would work as well? So people don't think they have to strftime for such a common task :)

Also we recorded another video last weekend, using your recent issue #227 for inspiration. I hope you don't mind if I mention your name again :)

Happy new year!

[aborruso]

Hi Saul,

On Sat, 29 Dec 2018 at 09:06, Saul Pwanson [e-mail] wrote:

I read through the translated
guide, and I thought of a couple of (very minor) points:

• under Pivot Table, maybe it would be good to note that all
  aggregators on the pivoted column will be created too.

I had no idea, I'm sorry. How to show them?

• under Python modules, maybe note that setting the type with @ and
  then =data_immatricolazione.month would work as well? So people don't
  think they have to strftime for such a common task :)

It is already written in the text: "NOTA BENE: le funzioni del modulo
datetime sono disponibili in modo nativo per le colonne già impostate (come
tipo) a data. Quanto scritto sopra vale soprattutto come guida al come
precaricare e utilizzare un modulo Python in VisiData."

That in english is something like "NOTE: the functions of the datetime
module are available natively for the columns already set (as type) to
date. What is written above is primarily a guide to how to preload and use
a Python module in VisiData."

Also we recorded another video last weekend, using your recent issue #227
https://github.com/saulpw/visidata/issues/227 for inspiration. I hope
you don't mind if I mention your name again :)

I'm very proud to be mentioned. Where can I find this new video?

Happy new year!

Thank you very much, best wishes to you too

[saulpw]

Oh, I missed that NOTE. And the video is not yet out, probably in another week or two.

As for the Pivot aggregators, I don't know how to show them. I just thought mentioning them was a good idea so people knew (I guess you didn't even know!).

[aborruso]

As for the Pivot aggregators, I don't know how to show them. I just thought mentioning them was a good idea so people knew (I guess you didn't even know!).

I did not understand you, I'm sorry.

I know that I can add, but I understood that they were somehow calculated by default.

Instead you are telling me to point out that it is possible to add them. Now Do I understand you?

[saulpw]

Yes, exactly! I believe you mention it with the Frequency Table, and it works similarly with Pivot, so it seems like maybe a good idea to mention.

[aborruso]

On Sat, 29 Dec 2018 at 19:16, Saul Pwanson [e-mail] wrote:

Yes, exactly! I believe you mention it with the Frequency Table, and it
works similarly with Pivot, so it seems like maybe a good idea to mention.

I'll do it

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Andrea Borruso
website: https://medium.com/tantotanto
38° 7' 48" N, 13° 21' 9" E, EPSG:4326

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"cercare e saper riconoscere chi e cosa,
in mezzo all’inferno, non è inferno,
e farlo durare, e dargli spazio"

Italo Calvino

[aborruso]

Yes, exactly! I believe you mention it with the Frequency Table, and it works similarly with Pivot, so it seems like maybe a good idea to mention.

@saulpw I have added an example with avg aggregator

[aborruso]

I have published also a Medium blog post https://medium.com/tantotanto/visidata-il-coltellino-svizzero-per-i-dati-che-probabilmente-non-conosci-2209ffd4fa39

[anjakefala]

This is wonderful! ^^ Happiest of New Years. 😊