Hoi, I love data. There is one fact to consider; most of the items in Wikidata have few statements [1]. Another associated thing is that once there is a sufficiently representative part of the data, statistically the numbers shown by Envil Le Hir will remain similar; there will be no significant change. However, given that people like myself have been hard at work adding data from Wikipedias, particularly the English Wikipedia, the bias of these Wikipedias will have transfered to Wikidata.
There are two types of data; what interests the English Wikipedia editors and the extend categories have been added to the "outlier" articles. The consequence is that while I love the stats I expect that with more interest for the subjects that are not common, we will find that the numbers for the countries that get less attention will change significantly more than for the subjects that are the bread and butter of the more popular Wikipedias. Thanks, GerardM
[1] https://tools.wmflabs.org/wikidata-todo/stats.php?reverse
On 8 March 2017 at 14:01, Florence Devouard fdevouard@gmail.com wrote:
This is a tool done by Envel Le Hir using WikiData and published today.
I actually inspired him the idea during a conference, when talking of my desire to get generic data about women professionnal occupation. My main argument is that I felt many of the added biographies about women were about actors, singers, or football players. Much less about politicians and business. But it was a "guess" and I wanted more hard data.
And apparently... he got busy
http://tools.dicare.org/gaps/gender.php
Ok. Hard data (1950-2005 birth dates):
- 80% of the biographies of porn actors are about women.
- 98.3% of beauty pageant contestants are about women.
- 24% of politicians are about women
- 8.4% of computer scientists are about women.
Or ... In Algeria... the more popular occupation of women by far is... Volley Ball ! In France... actors. And in Guinea... well... hard to say... only 17 biographies about Guinean women anyway.
Florence
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