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 <ebernhardson(a)wikimedia.org>rg>:
On Mon, Jul 31, 2017 at 7:18 AM, Akeron
<akeron.wp(a)gmail.com> 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 <khitron(a)gmail.com>om>:
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" <wiki.pine(a)gmail.com> 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
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