[open-visualisation] Cultural heritage digitisation data for visualisations

jaume nualart jaume at nualart.cat
Fri Jan 11 12:14:09 UTC 2013

Hi Joris,
I liked the dataset and you idea, so I did a fast visualization qith the
Enumerate dataset.
I used a toll that I coded some years ago. It is call AREA. Basically you
represnet 2 fields of the dataset.
The visualization is here: http://v.subvideo.tv/area-enumerate1/
Please go to !Parameters" tab and choose the parameters you want to see.

This is a very basic representation, it can be improved (better filter,
better human names of the fields, the info you get when click in a colerod
node, etc...).

Jaume Nualart

Date: Thu, 10 Jan 2013 12:04:06 +0100

> From: Joris Pekel <joris.pekel at okfn.org>
> Subject: [open-visualisation] Cultural heritage digitisation data for
>         visualisations
> To: open-glam at lists.okfn.org, open-visualisation at lists.okfn.org
> Message-ID:
>         <CAGALA3QLtOoi=
> LLUUCg7GktbhATZ_zw5RZ8uEwwo9ZKb3zQwnw at mail.gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
> Dear all,
> I recently got access to some very comprehensive data from the EU funded
> ENUMERATE project. They asked almost two thousand cultural institutions in
> Europe how much of their content is actually digitised and how much should
> still be. Unfortunately, they had to anonymise the names of the
> institutions but there still is lots of info you can get out of this. I
> quickly made for example this chart with Many Eyes that shows that 50% of
> all institutions have 0-10% of their collection digitised.
> http://www-958.ibm.com/software/analytics/manyeyes/visualizations/enumerate
> Now, there is a lot of stuff wrong with this chart but it shows the
> possibilities. I was wondering if anybody would be interested in working to
> create a couple of better ones. Please let me know.
> The dataset can be found here:
> https://www.dropbox.com/s/tcffsd28rewrify/enumerate%20core%20survey%202011-2012%20copy.xls
> All the best,
> --
> Joris Pekel
> Community Coordinator
> Open Knowledge Foundation
> http://okfn.org
> http://twitter.com/jpekel
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