Thanks Eric, it looks interesting. Actually I am able to maintain a full dataset for users but not for pages on big wikis, it may be a good alternative to display the approximative number of edited pages over a month or more.
2017-07-31 17:22 GMT+02:00 Erik Bernhardson <[email protected]>: > On Mon, Jul 31, 2017 at 7:18 AM, Akeron <[email protected]> wrote: > >> Hi Igal, >> All suggestions are welcome :) >> Supporting this feature shouldn't be too difficult in theory because it >> is already working with this kind of aggregation (month are built from >> days, years from months...). The main problem is scalability for stats >> which require uniqueness like number of users or number of edits *per >> page*. That's why yearly stats can actually be disabled on some big wikis. >> So it would be feasible but with edits limitations for the range (like 3-5 >> millions) and it would be very slow to load with lots of edits. >> > > One way to handle the scalability problem is to use HyperLogLog counters. > These are an approximate algorithm for which you can store daily counters, > and then merge the counters to get weekly/monthly/etc, avoiding the cost of > doing the calculation over something like an entire year just for the one > stat. Of course because these are approximate they may not be exactly what > you are looking for, just an idea. > > >> >> Akeron >> >> 2017-07-31 14:29 GMT+02:00 יגאל חיטרון <[email protected]>: >> >>> Hello. It's amazing, thank you very much! >>> Could I suggest one more feature, please? With it, the tool will be >>> perfect. I'm talking about aggregation. Any kind of historical statistics >>> for some day, month or year can be also shown as range of time. For >>> example, if we have month statistics, we could fill From field to be Jan >>> 2008 and To field to be May 2011, and get the aggregated numbers for this >>> range. Is it possible? >>> Thank you very much again, >>> Igal (User:IKhitron) >>> >>> On Jul 30, 2017 22:18, "Pine W" <[email protected]> wrote: >>> >>> > Wikiscan is an interesting tool for statistics fans. I suggest briefly >>> > reading this IEG page >>> > <https://meta.wikimedia.org/wiki/Grants:IEG/Wikiscan_multi-wiki>, then >>> > playing with the tool on https://wikiscan.org/ >>> > >>> > Pine >>> > _______________________________________________ >>> > Wikitech-l mailing list >>> > [email protected] >>> > https://lists.wikimedia.org/mailman/listinfo/wikitech-l >>> _______________________________________________ >>> Wikitech-l mailing list >>> [email protected] >>> https://lists.wikimedia.org/mailman/listinfo/wikitech-l >> >> >> >> _______________________________________________ >> Analytics mailing list >> [email protected] >> https://lists.wikimedia.org/mailman/listinfo/analytics >> >> > > _______________________________________________ > Analytics mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/analytics > >
_______________________________________________ Analytics mailing list [email protected] https://lists.wikimedia.org/mailman/listinfo/analytics
