badge_labels = get_labels(["Q17437796", "Q17437798"], lang).then((d) =>
d.objects()
)
property_labels = get_labels(
["P19", "P20", "P27", "P119", "P551", "P937"],
lang
).then((d) => d.objects())
labels_map = new Map(
badge_labels.map(({ label, qid }) => [label + " (" + qid + ")", qid])
)
property_labels_map = new Map(
property_labels.map(({ label, qid }) => [label + " (" + qid + ")", qid])
)
import { get_labels } from "@pac02/what-kind-of-articles-have-you-created"
query = `SELECT ?name ?url ?value ?valueLabel ?coord
WHERE {
?url schema:isPartOf <https://${wikipedia}/>;
wikibase:badge wd:${badge};
schema:about ?item;
schema:name ?name.
?item wdt:${property} ?value.
?value wdt:P625 ?coord;
rdfs:label ?valueLabel.
FILTER(LANG(?valueLabel) = "${lang}" )
}`
data = fetch(
`https://query.wikidata.org/sparql?query=${encodeURIComponent(query)}`,
{ headers: { accept: "application/sparql-results+json" } }
).then((response) => response.json())
array = data.results.bindings.map((d) => ({
url: d.url.value,
name: d.name.value,
value: d.value.value,
valueLabel: d.valueLabel.value,
coord: d.coord.value
}))
df = aq.from(array)
df.view()
df2 = df
.groupby(["value", "valueLabel", "coord"])
.count()
.orderby(aq.desc("count"))
df2.orderby(aq.desc("count")).view()
geoarray = geo.coords2geo(df2.objects(), { coords: "coord", reverse: true })
df.dedupe("url").numRows()
geo = require("geotoolbox@2")
viz = require("geoviz@0.4.4")
d3 = require("d3@7", "d3-geo-projection@4")
import { wikipedias } from "@pac02/user-level-gender-statistics-for-wikipedia"
get_default = () => {
const params = new URL(document.URL).searchParams;
const defaults = {
badge: "Q17437796",
wikipedia: "fr.wikipedia.org",
lang: "en",
property: "P19"
};
if (params.has("badge")) {
defaults.badge = params.get("badge");
}
if (params.has("wikipedia")) {
defaults.wikipedia = params.get("wikipedia");
}
if (params.has("wikipedia")) {
defaults.wikipedia = params.get("wikipedia");
}
if (params.has("lang")) {
defaults.lang = params.get("lang");
}
return defaults;
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
