To make sure this is not overlooked, as I wrote earlier: we have view count data in daily/monthly aggregates.
Monthly aggregates come in two versions, with and without hourly granularity.
So there is more than grok.se, and in a leaner faster to process format, just not real time and not via an API.
http://dumps.wikimedia.org/other/pagecounts-ez/merged/
Erik Zachte
From: analytics-bounces@lists.wikimedia.org [mailto:analytics-bounces@lists.wikimedia.org] On Behalf Of Magnus Manske
Sent: Monday, June 17, 2013 1:37 PM
To: A mailing list for the Analytics Team at WMF and everybody who has an interest in Wikipedia and analytics.
Subject: Re: [Analytics] GLAMTools gives recommendations to Wikimedia Analytics team
FWIW, I was told yesterday that no view count data exists within WMF, and the best we can hope for (at least in the short/medium run) is a WMF version of stats.grok.se. Which would do, of course.
On Mon, Jun 17, 2013 at 12:33 PM, Maarten Zeinstra <mz@kl.nl> wrote:
Hi all,
I've should have posted this earlier here.
Wikimedia France, Wikimedia UK, Wikimedia NL and Wikimedia CH funded a project to create better tools voor GLAMs to upload their collections, including metadata, to Wikimedia Commons. Simultaneously the project did research into what GLAMs need in terms of analytics of these collections to be able to justify sharing their collections on Wikipedia. The researched can be condensed to a single paragraph requirement:
'A GLAM analytics system is an open dashboard that shows all contributing institutions with monthly overviews of objects, their plays and their usage in Wiki projects. Ideally, the data is created by Kraken and presentation is handled through Limn with well-designed graphs providing exportable datasets.'
This is something that the Analytics team has adopted and will be working on in the coming period according to Diederik. They started working on importing commons data: https://mingle.corp.wikimedia.org/projects/analytics/cards/723 something that is probably important for other people on this list as well like Magnus.
That research has now been published here and includes high-level and low-level requirements:
Cheers,
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