31:T451,dataset = d3.groups(data_owid.filter(d => d.weekly_hosp_admissions || d.weekly_icu_admissions), a=>a.location).map(a => { const hosp_adms = a[1].map(d => d.weekly_hosp_admissions_per_million).filter(a => (a>0 || a===0)); const icu_adms = a[1].map(d => d.weekly_icu_admissions_per_million).filter(a => (a>0 || a===0)); const last_elem = data_owid.filter(d => d.location===a[0] && d.new_cases && d.new_deaths && d3.timeDay.count(d.date, ref_date) > 0 ).slice(-1)[0]; const rec_ecdc = total_hosp_ecdc.find(e => e.country===a[0]); const rec_cases_ecdc = total_cases_ecdc.find(e => e.country===a[0]); const rec_tests_ecdc = total_test_ecdc.find(e => e.country===a[0]); return ({ ...rec_ecdc, ...rec_cases_ecdc, ...last_elem, ...rec_tests_ecdc, total_hosp_admissions_per_million: hosp_adms.length>0 ? d3.sum(hosp_adms) : null, total_hosp_admissions_cnt: hosp_adms.length, total_icu_admissions_per_million: icu_adms.length>0 ? d3.sum(icu_adms) : null, total_icu_admissions_cnt: icu_adms.length }) }).filter(c => c.country && c.country != 'Israel');32:Ta74,html`

${ dataset .sort((a,b) => b.total_deaths_per_million_ecdc - a.total_deaths_per_million_ecdc) .map(c => '' ) .join('')}

	H ecdc	%	H owid	%	EIT ecdc	%	% H	EIT owid	%	% H	Primeri ecdc	Primeri owid	Smrti ecdc	%	Smrti owid	%	Testi ecdc	TPR ecdc
' + c.country + '	' + numF(toNaN(c.total_hosp_admissions_per_million_ecdc)/10) + '	' + ratioF(0, c.total_hosp_admissions_per_million_ecdc, c.total_cases_per_million_ecdc) + '	' + numF(toNaN(c.total_hosp_admissions_per_million)/10) + '	' + ratioF(0, c.total_hosp_admissions_per_million, c.total_cases_per_million) + '	' + numF(toNaN(c.total_icu_admissions_per_million_ecdc)/10) + '	' + ratioF(1, c.total_icu_admissions_per_million_ecdc, c.total_cases_per_million_ecdc) + '	' + ratioF(0, c.total_icu_admissions_per_million_ecdc, c.total_hosp_admissions_per_million_ecdc) + '	' + numF(toNaN(c.total_icu_admissions_per_million)/10) + '	' + ratioF(1, c.total_icu_admissions_per_million, c.total_cases_per_million) + '	' + ratioF(0, c.total_icu_admissions_per_million, c.total_hosp_admissions_per_million) + '	' + numF(toNaN(c.total_cases_per_million_ecdc)/10) + '	' + numF(toNaN(c.total_cases_per_million)/10) + '	' + numF(toNaN(c.total_deaths_per_million_ecdc)/10) + '	' + ratioF(1, c.total_deaths_per_million_ecdc, c.total_cases_per_million_ecdc) + '	' + numF(toNaN(c.total_deaths_per_million)/10) + '	' + ratioF(1, c.total_deaths_per_million, c.total_cases_per_million) + '	' + numF(toNaN(c.total_tests_ecdc)/c.population * 100000, '.3r') + '	' + ratioF(0, c.total_tests_cases_ecdc, c.total_tests_ecdc) + '

Vse vrednosti pomenijo skupno (kumulativno) število na 100 000 prebivalcev. Odstotki so glede na število primerov, razen TPR, ki pomeni razmerje med primeri in testi, ter EIT % H, ki pomeni razmerje med primeri na intenzivni terapiji in sprejetimi v bolnišnico.

`33:[] 2f:{"title":"EU Comparison of Totals - sledilnik.org","cells":[{"id":0,"value":"md`# EU Comparison of Totals - sledilnik.org`","pinned":false,"hidden":false,"mode":"ojs"},{"id":237,"value":"style = html`\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5,"value":"d3 = require('d3');","pinned":false,"hidden":false,"mode":"ojs"},{"id":43,"value":"function proxy(url) {\n return 'https://cors-anywhere.herokuapp.com/'+url;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":4,"value":"data_hosp_ecdc = d3.json(proxy('https://opendata.ecdc.europa.eu/covid19/hospitalicuadmissionrates/json/'))","pinned":false,"hidden":false,"mode":"ojs"},{"id":169,"value":"total_cases_ecdc = d3.csv(proxy('https://opendata.ecdc.europa.eu/covid19/casedistribution/csv'))\n .then(csv => d3.groups(csv, d=>d.countriesAndTerritories))\n .then(grps => grps.map(c => {\n const last = c[1][0];\n const cases = d3.sum(c[1].map(a => a.cases_weekly));\n const deaths = d3.sum(c[1].map(a => a.deaths_weekly));\n const wkRanges = d3.extent(c[1].map(a => a.year_week));\n return ({\n country: c[0],\n total_cases_ecdc: cases,\n total_deaths_ecdc: deaths,\n total_cases_per_million_ecdc: cases * 1000000 / last.popData2019,\n total_deaths_per_million_ecdc: deaths * 1000000 / last.popData2019,\n lastwk_cases_ecdc: last.cases_weekly / last.popData2019, \n wk_start_cases_ecdc: wkRanges[0],\n wk_end_cases_ecdc: wkRanges[1],\n ...last\n });\n }));","pinned":false,"hidden":false,"mode":"ojs"},{"id":320,"value":"total_test_ecdc = d3.json(proxy('https://opendata.ecdc.europa.eu/covid19/testing/json'))\n.then(d => d3.groups(d, r => r.country)\n .map(c => ({\n country: c[0],\n total_tests_cases_ecdc: d3.sum(c[1].map(a => a.new_cases)),\n total_tests_ecdc: d3.sum(c[1].map(a => a.tests_done)),\n population: d3.max(c[1].map(a => a.population)),\n wk_tests_ecdc: d3.max(c[1].map(a => a.year_week))\n }))\n);","pinned":false,"hidden":false,"mode":"ojs"},{"id":22,"value":"total_hosp_ecdc = d3.groups(data_hosp_ecdc, d => d.country).map(c => {\n const hosp_adms = c[1].filter(a => a.indicator==\"Weekly new hospital admissions per 100k\"\n && (a.value > 0 || a.value===0));\n const icu_adms = c[1].filter(a => a.indicator==\"Weekly new ICU admissions per 100k\"\n && (a.value > 0 || a.value===0));\n const wkRanges = d3.extent(hosp_adms.concat(icu_adms).map(d => d.year_week));\n return ({\n country: c[0],\n total_hosp_admissions_per_million_ecdc: hosp_adms.length ? 10*d3.sum(hosp_adms.map(d => d.value)) : null,\n total_icu_admissions_per_million_ecdc: icu_adms.length ? 10*d3.sum(icu_adms.map(d => d.value)) : null,\n lastwk_hosp_admissions_per_million_ecdc: hosp_adms.length ? 10*hosp_adms.slice(-1)[0].value : null,\n lastwk_icu_admissions_per_million_ecdc: icu_adms.length ? 10*icu_adms.slice(-1)[0].value : null,\n wk_start_hosp_ecdc: wkRanges[0],\n wk_end_hosp_ecdc: wkRanges[1]\n })\n});","pinned":false,"hidden":false,"mode":"ojs"},{"id":41,"value":"data_owid = d3.csv('https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv', d3.autoType);","pinned":false,"hidden":false,"mode":"ojs"},{"id":142,"value":"ref_date = d3.isoParse('2099')","pinned":false,"hidden":false,"mode":"ojs"},{"id":61,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":395,"value":"import {serialize} from \"@palewire/saving-csv\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":203,"value":"function toNaN(a) { return (a || a===0) ? a : NaN; }","pinned":false,"hidden":false,"mode":"ojs"},{"id":208,"value":"function numF(a, f='.0f') { return (a || a===0) ? d3.format(f)(a) : ''; }","pinned":false,"hidden":false,"mode":"ojs"},{"id":354,"value":"function ratioF(numDecimals, a, b) { return ((a || a===0) && b)\n ? '' + d3.format('.'+numDecimals+'%')(a/b) + ''\n : '';}","pinned":false,"hidden":false,"mode":"ojs"},{"id":398,"value":"DOM.download(serialize(dataset), 'EU_Data_ECDC_OWID.csv', \"DOWNLOAD CSV\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":392,"value":"md`### Skupno`","pinned":false,"hidden":false,"mode":"ojs"},{"id":85,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":307,"value":"md``","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W33","stdlib":"1","titling":"auto"}