Public
Edited
Nov 13
df_groups
.derive({
synth: aq.escape((d) => d.count + " (" + d.share.toFixed(1) + "%)")
})
.select(["group", "synth"])
.pivot("group", "synth")
.toMarkdown()
count_country = df
.filter(aq.escape((d) => d.group == g))
.groupby(["country", "countryLabel"])
.count()
.orderby(aq.desc("count"))
.derive({ share: (d) => (100 * d.count) / op.sum(d.count) })
query = `SELECT DISTINCT ?item ?itemLabel ?country ?countryLabel ?birthplace
?birthplaceLabel
WHERE {
SERVICE wikibase:mwapi {
bd:serviceParam wikibase:endpoint "${wikipedia}";
wikibase:api "Generator";
mwapi:generator "links";
mwapi:titles "${article}";.
?item wikibase:apiOutputItem mwapi:item.
}
FILTER BOUND (?item)
?item wdt:P31 wd:Q5 ; wdt:P19
?birthplace.
?birthplace wdt:P17 ?country .
SERVICE wikibase:label { bd:serviceParam wikibase:language "en,mul". }
}`
output = fetch(
`https://query-main.wikidata.org/sparql?query=${encodeURIComponent(query)}`,
{ headers: { accept: "application/sparql-results+json" } }
).then((d) => d.json())
entities = aq.from(
output.results.bindings.map((d) => ({
item: d.item.value,
itemLabel: d.itemLabel.value,
country: d.country.value,
countryLabel: d.countryLabel.value,
birthplace: d.birthplace.value,
birthplaceLabel: d.birthplaceLabel.value
}))
)
query_continent = `SELECT DISTINCT ?continent ?continentLabel ?country ?code WHERE {
VALUES ?continent {
wd:Q55643
wd:Q48
wd:Q15
wd:Q18
wd:Q49
wd:Q46
}
?continent (wdt:P527*) ?country.
?country
wdt:P2082 ?code.
SERVICE wikibase:label { bd:serviceParam wikibase:language "en,mul". }
}`
output_continent = fetch(
`https://query-main.wikidata.org/sparql?query=${encodeURIComponent(
query_continent
)}`,
{ headers: { accept: "application/sparql-results+json" } }
).then((d) => d.json())
continents = aq.from(
output_continent.results.bindings.map((d) => ({
continent: d.continent.value,
continentLabel: d.continentLabel.value,
country: d.country.value,
code: d.code.value
}))
)
groups = aq.from([
{
continent: "http://www.wikidata.org/entity/Q15",
group: "Rest of the world"
},
{
continent: "http://www.wikidata.org/entity/Q18",
group: "Rest of the world"
},
{
continent: "http://www.wikidata.org/entity/Q48",
group: "Rest of the world"
},
{
continent: "http://www.wikidata.org/entity/Q55643",
group: "Rest of the world"
},
{
continent: "http://www.wikidata.org/entity/Q46",
group: "Western world"
},
{
continent: "http://www.wikidata.org/entity/Q49",
group: "Western world"
}
])
df = entities
.dedupe(["item", "country"])
.join_left(continents, ["country", "country"])
.join_left(groups, "continent")
.impute({ group: () => "Unclassified", continentLabel: () => "Unclassified" })
df_continent = df
.groupby(["continent", "continentLabel"])
.count()
.orderby(aq.desc("count"))
.derive({ share: (d) => (100 * d.count) / op.sum(d.count) })
df_groups = df
.groupby("group")
.count()
.orderby(aq.desc("count"))
.derive({ share: (d) => (100 * d.count) / op.sum(d.count) })
get_default = () => {
const params = new URL(document.URL).searchParams;
const defaults = {
wikipedia: "en.wikipedia.org",
article: "Music"
};
if (params.has("wikipedia")) {
defaults.wikipedia = params.get("wikipedia");
}
if (params.has("article")) {
defaults.article = params.get("article");
}
return defaults;
}
import { SearchForm } from "@floatingpurr/input-autocomplete"
import {wikipedias} from "@pac02/user-level-gender-statistics-for-wikipedia"
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.