Public
Edited
Jul 6, 2024
1 fork
Importers
1 star
claim_labels = get_labels(
[
"P17",
"P21",
"P27",
"P31",
"P106",
"P101",
"P103",
"P1412",
"P6886",
"P140",
"P91",
"P172",
"P69",
"P166",
"P1387",
"P1142",
"P136",
"P1050",
"P1884"
],
lang
).then((d) => d.objects())
labels_map = new Map(claim_labels.map(({ label, qid }) => [label + " (" + qid + ")", qid]))
data = {
let result = [];
let offset = "";
while (offset !== undefined) {
let data = await get_pagescreated({
username: username,
wikipedia: wikipedia,
offset: offset
});
offset = data.continue;
result = result.concat(aq.from(Object.values(data.pages[0])));
yield result;
}
return result;
}
df = data[0].union(data)
page_title_split = df.array("page_title").reduce((all,one,i) => {
const ch = Math.floor(i/50);
all[ch] = [].concat((all[ch]||[]),one);
return all
}, [])
alldata = await Promise.all(page_title_split.map(d => fetch(wdk.getEntitiesFromSitelinks({titles: d, sites: get_shortwikipedianame(wikipedia)}))
.then(d => d.json())
.then(wdk.parse.wb.entities)
.then(d => Object.values(d).map(q => get_claim(q, claim, get_shortwikipedianame(wikipedia))))
.then(d => aq.from([ { article: "", qvalue: ""}])
.union(d.map(q => aq.from(q)))
.filter(aq.escape(p => p.article != "")))
)
)
df_alldata = aq.from([{article: "", qvalue: ""}])
.union(alldata.map(d => aq.from(d)))
.filter(aq.escape(d => d.article != ""))
qvalues = df_alldata.dedupe("qvalue").array("qvalue")
qvalues_split = qvalues.reduce((all,one,i) => { const ch = Math.floor(i/50);
all[ch] = [].concat((all[ch]||[]),one);
return all
}, [])
qvalues_label = await Promise.all(qvalues_split.map((d) => get_labels(d, lang)))
df_labels = aq.from([{qid: "", label: ""}])
.union(qvalues_label.map(d => aq.from(d)))
.filter(aq.escape(d => d.qid != ""))
.rename({qid: 'qvalue', label: 'qlabel'})
df_result = df_alldata.join_left(df_labels, "qvalue")
import {BubbleChart} from "@d3/bubble-chart"
import { get_pagescreated } from "@pac02/look-at-your-list-of-created-articles-with-the-xtools-page-ap"
import { wikipedias } from "@pac02/user-level-gender-statistics-for-wikipedia"
get_default = () => {
const params = new URL(document.URL).searchParams;
const defaults = {
username: "PAC2",
wikipedia: "en.wikipedia.org",
lang: "en",
claim: "P31"
} ;
if (params.has("username")) {
defaults.username = params.get("username")
}
if (params.has("wikipedia")) {
defaults.wikipedia = params.get("wikipedia")
}
if (params.has("claim")) {
defaults.claim = params.get("claim")
}
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.
