As Tilman has suggested, your best bet is to query the pageview_hourly
table. I was going to be lazy and give you a query to just find out the
most viewed article for a given country, but then I made a few experiments
and this is the query I came up with to generate a list of countries and
their respective most viewed articles and view counts. It takes a few
minutes to run for a single day, so I'm sure someone here could suggest a
WITH articles_countries AS (
SELECT country, page_title, sum(view_count) AS
WHERE year=2018 AND month=3 AND day=15
GROUP BY country, page_title
SELECT s.country as country, s.page_title as page_title, s.views as views
SELECT max(named_struct('views', views, 'country', country,
'page_title', page_title)) as s from articles_countries group by country
Cheers / see you in ZA,
On Mon, Jul 9, 2018 at 10:18 AM, Amir E. Aharoni <
Is there a way to find what are the most popular articles per country?
Finding the most popular articles per language is easy with the Pageviews
tool, but languages and countries are of course not the same.
One thing I tried is going to Turnilo, webrequest_sampled_128, and
filtering by country. But here it gets troublesome:
* Splitting can be done by Uri host, which is *more or less* the project,
or by Uri path, which is *more or less* the article (but see below), and I
couldn't find a convenient way to combine them.
* Mobile (.m.) and desktop hosts are separate. It may actually sometimes
be useful to see differences (or lack thereof) between desktop and mobile,
but combining them is often useful, too. This can probably be done with
regular expressions, but this brings us to the biggest problem:
* Filtering by Uri path would be useful if it didn't have so many paths
for images, beacons, etc. Filtering using the regular expression
"\/wiki\/.+" may be the right thing functionally, but in practice it's
slow or doesn't work at all.
* I don't know what exactly is logged in webrequest_sampled_128, but the
name hints that it doesn't include everything. A sample may be OK for
countries with a lot of traffic like U.S. or Spain, but for countries with
smaller traffic this may start being a problem.
Any better ideas?
Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי
“We're living in pieces,
I want to live in peace.” – T. Moore
Analytics mailing list
Software Engineer, Analytics Team