[ddj] Open-source tool to visualise flows on a world map: data-driven-journalism Digest, Vol 64, Issue 3

Fri Jul 29 15:54:53 UTC 2016

Hi Ludovic,

I think that this article The digital journalist’s toolbox: mapping
<https://ijnet.org/en/blog/digital-journalist%E2%80%99s-toolbox-mapping>
from IJNET can be usefull to you.

Best Regards,
William Parron
Brazil

2016-07-29 9:00 GMT-03:00 <data-driven-journalism-request at lists.okfn.org>:

> Send data-driven-journalism mailing list submissions to
>         data-driven-journalism at lists.okfn.org
>
> To subscribe or unsubscribe via the World Wide Web, visit
>         https://lists.okfn.org/mailman/listinfo/data-driven-journalism
> or, via email, send a message with subject or body 'help' to
>         data-driven-journalism-request at lists.okfn.org
>
> You can reach the person managing the list at
>         data-driven-journalism-owner at lists.okfn.org
>
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of data-driven-journalism digest..."
>
>
> Today's Topics:
>
>    1. Scanning the Dark Web with Python (Justin Seitz)
>    2. Open-source tool to visualise flows on a world map (Excel
>       worksheet)? (ludovic fery)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Thu, 28 Jul 2016 07:54:24 -0600
> From: Justin Seitz <justin at automatingosint.com>
> To: "List about Data Driven Journalism and Open Data in Journalism."
>         <data-driven-journalism at lists.okfn.org>
> Subject: [ddj] Scanning the Dark Web with Python
> Message-ID: <03d7f422-414b-99d7-5c6e-5e585056a748 at automatingosint.com>
> Content-Type: text/plain; charset="utf-8"
>
> Hey List!
>
> I just published a new blog post on how to use Python to discover and
> scan hidden services using Python and OnionScan. I would definitely be
> interested to hear your feedback!
>
>
> http://www.automatingosint.com/blog/2016/07/dark-web-osint-with-python-and-onionscan-part-one/
>
> Thanks,
>
> Justin
>
>
> -------------- next part --------------
> An HTML attachment was scrubbed...
> URL: <
> http://lists.okfn.org/pipermail/data-driven-journalism/attachments/20160728/57fcaf37/attachment-0001.html
> >
>
> ------------------------------
>
> Message: 2
> Date: Thu, 28 Jul 2016 17:44:46 +0200
> From: ludovic fery <redac.tonik at gmail.com>
> To: data-driven-journalism at lists.okfn.org
> Subject: [ddj] Open-source tool to visualise flows on a world map
>         (Excel  worksheet)?
> Message-ID:
>         <CAHMAw-WBE4SHyUdYhoz=
> qorGm_9BC3FuWRNO2UZuVprAKHZVUg at mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> Hi everyone,
>
> I have the following request: I would like to create an online map showing
> people circulation between their country of origin and the one where they
> currently live (I have also towns but only for destinations). I also have
> information about countries where they lived between origin and destination
> so ideally each flow could look more like an itinerary.
>
> The Excel worksheet I have is about 150-200 entries.
>
> Do you know of any open-source/free online tools that can help me create
> this dataviz with a cleaned Excel worksheet?
>
> Thanks a lot for your advice & feedback!
>
> Kind regards,
>
> Ludovic Fery
> -------------- next part --------------
> An HTML attachment was scrubbed...
> URL: <
> http://lists.okfn.org/pipermail/data-driven-journalism/attachments/20160728/e70d7778/attachment-0001.html
> >
>
> ------------------------------
>
> Subject: Digest Footer
>
> _______________________________________________
> data-driven-journalism mailing list
> data-driven-journalism at lists.okfn.org
> https://lists.okfn.org/mailman/listinfo/data-driven-journalism
> Unsubscribe: https://lists.okfn.org/mailman/options/data-driven-journalism
>
>
> ------------------------------
>
> End of data-driven-journalism Digest, Vol 64, Issue 3
> *****************************************************
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.okfn.org/pipermail/data-driven-journalism/attachments/20160729/bf394979/attachment-0002.html>