Update: the original Shiny instance went down due to server load soon after release. It's now up again at http://datavis.wmflabs.org/where/ on a dedicated Labs machine, where we hope to put...many more visualisations. It also now has mapping, largely thanks to Sarah Laplante (http://sarahlaplante.com/), and soon it will hopefully be /non-hideous/ mapping (the current mass of blue and grey is because my aesthetic tastes are...I don't actually have any aesthetic tastes)
On 2 March 2015 at 22:36, Oliver Keyes <oke...@wikimedia.org> wrote: > Indeed! Orienting it that way (pivoting on language rather than > project) is something several people have asked for; I plan to spend a > chunk of my spare time (that is, recreational time) trying to make it > work. Should be fairly trivial. > > On 2 March 2015 at 09:55, h <hant...@gmail.com> wrote: >> Hello Finn, >> I do not have a specific answer to your question. However, it might be >> worthwhile to add Finnish in to the comparison as according to the CLDR 26 >> T-L information >> http://www.unicode.org/cldr/charts/26/supplemental/territory_language_information.html >> >> You have some sizable Finnish language speakers in Sweden: >> >> Swedish {O} sv 95.0% 99.0% >> Finnish {OR} fi 2.2% >> >> So if the similar query is executed on Finnish language, and the results >> also show some "undue" proportion of visits from Sweden, then what you >> observed as anomaly is the that unique. We probably need many iterations of >> comparative outcomes and normalization of data (Sweden does have higher >> population). Also, it might be handy to have some statistics on immigration >> or residence, it is EU. I will not be surprised that for example the visits >> from Oxford to Wikipedia website have sizable German language requests. >> >> I am still a bit bothered by the number "1" in the current dataset. It >> does not feel right since the numbers of 1.4% and 0.6% is a notable >> difference in this regard. Perhaps we need some high precision "universal >> percentage" number for each territory-language pair. It would be also great >> to do another set of aggregation: i.e. given a territory, which language >> versions of Wikipedia are accessed.... >> >> Best, >> han-teng liao >> >> 2015-03-02 13:54 GMT+01:00 Finn Årup Nielsen <f...@imm.dtu.dk>: >>> >>> Hi Oliver, >>> >>> >>> Interesting dataset! I am curious about why the Danish Wikipedia is so >>> highly acccessed from Sweden. Could it be an error, e.g., with Telia >>> IP-numbers? >>> >>> In Python: >>> >>> >>> import pandas as pd >>> >>> df = >>> >>> pd.read_csv('http://files.figshare.com/1923822/language_pageviews_per_country.tsv', >>> >>> sep='\t') >>> >>> df.ix[df.project == 'da.wikipedia.org', ['country', >>> >>> 'pageviews_percentage']].set_index('country') pageviews_percentage >>> country >>> Austria 1 >>> China 1 >>> Denmark 61 >>> Estonia 1 >>> France 1 >>> Germany 2 >>> Netherlands 2 >>> Norway 1 >>> Sweden 18 >>> United Kingdom 3 >>> United States 3 >>> Other 5 >>> >>> >>> MaxMind has some numbers on their own accuracy: >>> >>> https://www.maxmind.com/en/geoip2-city-database-accuracy >>> >>> For Denmark 85% is "Correctly Resolved", for Sweden only 68%. I wonder if >>> this really could bias the result so much. >>> >>> If the numbers are correct why would the Swedish read the Danish Wikipedia >>> so much? Bots? It does not apply the other way around: Only 2% of the >>> traffic to Swedish Wikipedia comes from Denmark. >>> >>> >>> >>> best regards >>> Finn >>> >>> >>> >>> On 02/25/2015 10:06 PM, Oliver Keyes wrote: >>>> >>>> Hey all! >>>> >>>> We've released a highly-aggregated dataset of readership data - >>>> specifically, data about where, geographically, traffic to each of our >>>> projects (and all of our projects) comes from. The data can be found >>>> at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've >>>> put together an exploration tool for it at >>>> https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/ >>>> >>>> Hope it's useful to people! >>>> >>> >>> >>> -- >>> Finn Årup Nielsen >>> http://people.compute.dtu.dk/faan/ >>> >>> >>> _______________________________________________ >>> Wiki-research-l mailing list >>> Wiki-research-l@lists.wikimedia.org >>> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l >> >> >> >> _______________________________________________ >> Wiki-research-l mailing list >> Wiki-research-l@lists.wikimedia.org >> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l >> > > > > -- > Oliver Keyes > Research Analyst > Wikimedia Foundation -- Oliver Keyes Research Analyst Wikimedia Foundation _______________________________________________ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
