Thanks for this. I'm forwarding to the Analytics and Research lists.
Pine
---------- Forwarded message ----------
From: Rachel Farrand <rfarrand(a)wikimedia.org>
Date: Mon, Oct 6, 2014 at 1:12 PM
Subject: Re: [Wikitech-l] Tech Talk: The Dashboarding Problem: October 6
To: Wikimedia developers <wikitech-l(a)lists.wikimedia.org>
Thank you for the great turnout today!
If you would like to view the recording of the talk, here is the link:
http://www.youtube.com/watch?v=hzMwwLfvh5g
If you have any questions about today's talk please feel free to get in
touch with Dan Andreescu <dandreescu(a)wikimedia.org> and Nuria Ruiz <
nuria(a)wikimedia.org>
You can check out past tech talk recondrings at the MediaWiki YouTube page
here:
http://www.youtube.com/channel/UCg4wlhlN8RjP6_e_vMC4CTA
If you would like to nominate future tech talks or see what we have coming
up, go here:
https://www.mediawiki.org/wiki/Project:Calendar/How_to_schedule_an_event/Te…
Thanks!
On Mon, Oct 6, 2014 at 11:03 AM, Rachel Farrand <rfarrand(a)wikimedia.org>
wrote:
Reminder: This tech talk starts in 1 hour
On Wed, Oct 1, 2014 at 12:01 PM, Rachel Farrand <rfarrand(a)wikimedia.org>
wrote:
> Please join us for the following tech talk:
>
> Tech Talk: *The Dashboarding Problem*
> Date: October 6
> Time: 1900 UTC
> <
http://www.timeanddate.com/worldclock/fixedtime.html?msg=Tech+Talk%3A+The+D…
> Link to live YouTube stream <http://www.youtube.com/watch?v=hzMwwLfvh5g>
> IRC channel for questions: #wikimedia-office
> Google+ page
> <
https://plus.google.com/u/0/b/103470172168784626509/events/ch8uuivq05nqejql…gt;,
another
> place for questions
>
> Talk description:
> The Analytics team has been busy exploring dashboarding and visualizing
> editor engagement data. We found that while most people focus on
> visualization, data access and information architecture are just as
> important and separate problems.
> Mike Bostock solved visualization and the design team took care of
> information architecture, so we built a dashboard around their work.
> In this talk we share our learnings from developing dashiki, our new
> dashboard stack. We will talk about why we believe a server-less
javascript
> app was the right architecture for the problem,
how with about 900 lines
of
> javascript we transform data into Vega grammar,
and how knockout
components
helped us stay
modular.
While we'll look at some javascript, the talk is high level, about 30
minutes long, and everyone that is interested in dashboarding,
visualization, and modularity is welcome to attend.
Dashiki Code:
https://github.com/wikimedia/analytics-dashiki
Editor Dashboard:
https://metrics.wmflabs.org/static/public/dash/
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