df1 = get_namedentities(articles[0], articles[1])
.then(d => aq.from(d))
df2 = get_namedentities(articles[2], articles[3])
.then(d => aq.from(d))
similarity = 100 * df1.semijoin(df2, 'item').numRows() / df1.join_full(df2, 'item').numRows()
df_summary = aq.from([
{ label: "Intersection", value: df1.semijoin(df2, 'item').numRows()},
{ label: "Article 1 only", value: df1.antijoin(df2, 'item').numRows()},
{label: "Article 2 only", value: df2.antijoin(df1, "item").numRows()}
])
df_summary.view()
get_namedentities = (article, project = "en.wikipedia.org" ) => {
const query = `SELECT ?item ?itemLabel ?gender ?genderLabel
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 .
?item rdfs:label ?itemLabel filter (lang(?itemLabel) = "en") .
?gender rdfs:label ?genderLabel filter (lang(?genderLabel) = "en") .
}
`
return fetch(`https://query.wikidata.org/sparql?query=${encodeURIComponent(query)}`, {headers: {accept: "application/sparql-results+json"}})
.then(response => response.json())
.then( d => d.results.bindings.map(res => ({
project: project,
article: article,
item: res.item.value,
itemLabel: res.itemLabel.value,
gender: res.gender.value,
genderLabel: res.genderLabel.value,
}))
)
}
get_namedentities("Économie (discipline)", "fr.wikipedia.org")
get_namedentities("Économie (discipline)", "fr.wikipedia.org")
.then(d => aq.from(d))
.then(d => d.view())
function wikilink(article, wikipedia) {
let url = "https://" + wikipedia + "/wiki/" + article.replace(/ /g, '_');
return `[${article}](${url})`;
}
import {aq, op} from "@uwdata/arquero"
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.