Public
Edited
Oct 29, 2022
2 stars
viewof big_cities_item = Inputs.table(big_city_media_properties)
viewof heritage_sites_item = Inputs.table(heritage_site_properties)
function query_wikidata(query){
let results_json = fetch(`https://query.wikidata.org/sparql?query=${encodeURIComponent(query)}`, {headers: {accept: "application/sparql-results+json"}}).then(response => response.json())
return results_json
}
function parse_values(results_json) {
return results_json.results.bindings
}
Extract property identifiers and labels
function extract_property_labels(property_values) {
let property_labels = property_values.map(function(d) {
let output = {
Label: d.property.value.replace("http://www.wikidata.org/prop/direct/",""),
Description: d.name.value
};
return output;
})
return property_labels
}
sparql_query = `SELECT ?property ?name WHERE {
?property wikibase:propertyType wikibase:CommonsMedia;
rdfs:label ?name.
FILTER((LANG(?name)) = "en")
}`
property_json = query_wikidata(sparql_query)
property_values = parse_values(property_json)
big_city_sparql_query = `SELECT DISTINCT ?property ?name WHERE {
{
SELECT ?property ?name WHERE {
_:b53 wikibase:propertyType wikibase:CommonsMedia;
rdfs:label ?name;
wikibase:directClaim ?property.
FILTER((LANG(?name)) = "en")
}
}
_:b54 wdt:P31 wd:Q1549591;
?property _:b55.
}`
big_city_media_property_json = query_wikidata(big_city_sparql_query)
big_city_media_property_values = parse_values(big_city_media_property_json)
big_city_media_properties = extract_property_labels(big_city_media_property_values)
heritage_site_sparql_query = `SELECT DISTINCT ?property ?name WHERE {
{
SELECT ?property ?name WHERE {
_:b53 wikibase:propertyType wikibase:CommonsMedia;
rdfs:label ?name;
wikibase:directClaim ?property.
FILTER((LANG(?name)) = "en")
}
}
_:b54 wdt:P31 wd:Q358;
?property _:b55.
}`
heritage_site_json =query_wikidata(heritage_site_sparql_query)
heritage_site_query_values = parse_values(heritage_site_json)
heritage_site_properties = extract_property_labels(heritage_site_query_values)
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.