Thanks for this. I'm forwarding to the Analytics and Research lists.

Pine


---------- Forwarded message ----------
From: Rachel Farrand <rfarrand@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@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@wikimedia.org> and Nuria Ruiz <
nuria@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/TechTalks

Thanks!

On Mon, Oct 6, 2014 at 11:03 AM, Rachel Farrand <rfarrand@wikimedia.org>
wrote:

> Reminder: This tech talk starts in 1 hour
>
> On Wed, Oct 1, 2014 at 12:01 PM, Rachel Farrand <rfarrand@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+Dashboarding+Problem&iso=20141006T19&p1=1440&ah=1>
>> 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/ch8uuivq05nqejqlivrqni6v1n0>, 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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