This is *awesome*. Excellent work Team Analytics! On Mon, Nov 16, 2015 at 9:50 PM, Dan Andreescu <dandree...@wikimedia.org> wrote:
> Dear Data Enthusiasts, > > > In collaboration with the Services team, the analytics team wishes to > announce a public Pageview API > <https://wikimedia.org/api/rest_v1/?doc#!/Pageviews_data/get_metrics_pageviews_per_article_project_access_agent_article_granularity_start_end>. > For an example of what kind of UIs someone could build with it, check out > this excellent demo <http://analytics.wmflabs.org/demo/pageview-api> > (code) > <https://gist.github.com/marcelrf/49738d14116fd547fe6d#file-article-comparison-html> > . > > > The API can tell you how many times a wiki article or project is viewed > over a certain period. You can break that down by views from web crawlers > or humans, and by desktop, mobile site, or mobile app. And you can find > the 1000 most viewed articles > <https://wikimedia.org/api/rest_v1/metrics/pageviews/top/es.wikipedia/all-access/2015/11/11> > on any project, on any given day or month that we have data for. We > currently have data back through October and we will be able to go back to > May 2015 when the loading jobs are all done. For more information, take a > look at the user docs > <https://wikitech.wikimedia.org/wiki/Analytics/AQS/Pageview_API>. > > > After many requests from the community, we were really happy to finally > make this our top priority and get it done. Huge thanks to Gabriel, Marko, > Petr, and Eric from Services, Alexandros and all of Ops really, Henrik for > maintaining stats.grok, and, of course, the many community members who have > been so patient with us all this time. > > > The Research team’s Article Recommender tool > <http://recommend.wmflabs.org/> already uses the API to rank pages and > determine relative importance. Wiki Education Foundation’s dashboard > <https://dashboard.wikiedu.org/> is going to be using it to count how > many times an article has been viewed since a student edited it. And there > are other grand plans for this data like “article finder”, which will find > low-rated articles with a lot of pageviews; this can be used by editors > looking for high-impact work. Join the fun, we’re happy to help get you > started and listen to your ideas. Also, if you find bugs or want to > suggest improvements, please create a task in Phabricator and tag it with > #Analytics-Backlog > <https://phabricator.wikimedia.org/tag/analytics-backlog/>. > > > So what’s next? We can think of too many directions to go into, for > pageview data and Wikimedia project data, in general. We need to work with > you to make a great plan for the next few quarters. Please chime in here > <https://phabricator.wikimedia.org/T112956> with your needs. > > > Team Analytics > > _______________________________________________ > Engineering mailing list > engineer...@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/engineering > > _______________________________________________ Wikitech-l mailing list Wikitech-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikitech-l
