The Wednesday IndexGender diversity inspectorGender diversity in Wikipedia articles: evidence from some selected academic fields in Wikipedia in FrenchGender diversity in Wikipedia articles: evidence from some selected occupations in the English WikipediaGender diversity explorerGender diversity in Wikipedia articles : Focus on computer sciences in Wikipedia in EnglishGender diversity in Wikipedia articles : Focus on social sciences in Wikipedia in EnglishGender diversity in Wikipedia articles: evidence from some selected academic disciplines in Wikipedia in FrenchGender diversity in academic disciplines in fr.wikipedia.org
Gender diversity in Wikipedia articles: evidence from some selected academic disciplines in the English Wikipedia
df.groupby("article").derive({total: d => op.sum(d.count)} ).filter(d => d.total >= 50).view()
get_genderdiversity = (article, project = "en.wikipedia.org") => {
const query =
`SELECT ?gender ?genderLabel (COUNT(*) AS ?count)
WHERE {
SERVICE wikibase:mwapi {
bd:serviceParam wikibase:endpoint "` +
project +
`";
wikibase:api "Generator";
mwapi:generator "links";
mwapi:titles "` +
article +
`";.
?item wikibase:apiOutputItem mwapi:item.
}
FILTER BOUND (?item)
?item wdt:P31 wd:Q5 .
?item wdt:P21 ?gender .
?gender rdfs:label ?genderLabel filter (lang(?genderLabel) = "en") .
}
GROUP BY ?gender ?genderLabel
ORDER BY DESC(?count)`;
return fetch(
`https://query-main.wikidata.org/sparql?query=${encodeURIComponent(query)}`,
{ headers: { accept: "application/sparql-results+json" } }
)
.then((response) => response.json())
.then((d) =>
d.results.bindings.map((res) => ({
project: project,
article: article,
gender: res.gender.value,
genderLabel: res.genderLabel.value,
count: res.count.value
}))
);
}
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.