2b:null 2c:["$","title",null,{"children":"COVID-19-DK Vaccinationstilslutning | Jakob Eg Larsen | Observable"}] 31:T574,md`Nedenstående datavisualiseringer viser COVID-19 vaccinationstilslutningen i Danmark. Data er hentet fra SSIs [Daglige opgørelser over vaccinationstilslutningen i Danmark](https://covid19.ssi.dk/overvagningsdata/vaccinationstilslutning). Data vedrørende fordelingen af befolkningen på aldersgrupper stammer fra [Danmarks Statistik](https://www.dst.dk/da/) fra 4. kvartal 2021, som findes i [Statistikbanken](https://statbank.dk/statbank5a/default.asp?w=2560). Da denne fordeling løbende ændrer sig og udregninger på aldersgrupper er baseret på disse tal, kan der forekomme mindre unøjagtigheder i beregninger af eksempelvis procentdele. ### Indhold * Status på vaccinationstilslutningen * Vaccinationer fordelt på alder og køn * Vaccinationer i de fem regioner * Vaccinationer over tid Datavisualiseringer vedr. smittede, kontakttal, indlæggelser, mv. findes i min [COVID-19 i Danmark notebook](https://observablehq.com/@jakobeglarsen/covid-19-dk). _Disclaimer/ansvarsfraskrivelse_: Disse datavisualiseringer er udelukkende tænkt til forsknings- og undervisnings-brug i datavisualisering. Måden hvorpå SSI har offentliggjort data har ændret sig over tid, hvorfor jeg ikke kan udelukke at der kan opstå fejl i processeringen af data. Check og verificér derfor venligst med [de officielle tal fra SSI](https://covid19.ssi.dk/overvagningsdata/vaccinationstilslutning).` 32:Tb9f,viewof procentVaccineret = { vl.vega.formatLocale(daDKFormat) return vl.data([latestVaccination]) // [vaccinationMap.get(currentDate)] .transform( vl.calculate(vaccinationProcent/100+'*'+(populationPercent(5,130))).as('targetVaccinationPercent'), vl.calculate('datum.percentStarted/100').as('newPercentStarted'), vl.calculate('datum.percentFinished/100').as('newPercentFinished'), vl.calculate(`${vaccinationModelProcent/100}`).as('targetPercent')) .layer( vl.markRect({tooltip: false}) .encode( vl.x().fieldQ('newPercentStarted').axis({labelFlush: false, format: "%"}).scale({domain: [0,1]}).title(''), vl.tooltip([{field: 'percentStarted',title: 'Procent', format: '.1f'}]) ), vl.markRect({tooltip: false, color: 'darkgreen'}) .encode( vl.x().fieldQ('newPercentFinished').axis({format: "%"}).scale({domain: [0,1]}).title(''), vl.tooltip([{field: 'percentFinished',title: 'Procent', format: '.1f'}]) ), vl.markText({format: '.1%', align: 'right', color: 'blue', dy: -16}) .encode( vl.x().fieldQ('newPercentStarted'), vl.text().field('newPercentStarted').format('.1%') ), vl.markText({format: '.1%', align: 'right', color: 'darkgreen', dy: -26}) .encode( vl.x().fieldQ('newPercentFinished'), vl.text().field('newPercentFinished').format('.1%') ), vl.markRule({tooltip: false, color: 'darkred', opacity: 0.5, strokeWidth: 2}) .encode( vl.x().fieldQ('newPercentFinished'), vl.x2({datum: 1}) ), /* vl.markRule({color: 'darkred', strokeWidth: 3}) .encode( vl.x().fieldQ('targetPercent') // x({datum: 0.8}) ), */ vl.markRule({color: 'grey', strokeWidth: 2}) .encode( vl.x().fieldQ('targetVaccinationPercent') ), /* vl.markText({format: '.1%', color: 'darkred', align: 'left', dx: 3, dy: 1}) .encode( vl.x().fieldQ('targetPercent'), vl.text().field('targetPercent').format('.1%') ), */ vl.markText({format: '.0%', color: 'grey', align: 'left', dx: 0, dy: -30}) .encode( vl.x().fieldQ('targetVaccinationPercent'), vl.text().field('targetVaccinationPercent').format('.1%') ), vl.markText({fontSize: 18, align: 'left', dx: -1, dy: -16}) .encode( vl.x().fieldQ('targetVaccinationPercent'), vl.text().value('🏁') ) ) //.autosize({type: 'pad', contains: 'padding', resize: true}) //.padding({top: 5, bottom: 5, left: 55, right: 5}) .width(WIDTHSMALL*1.1) .title(title('Andel af befolkningen der er vaccineret', ['pr. ' + dkDate(latestVaccinationDate), 'færdigvacc. (grøn), påbegyndt vacc. (blå),', ' ikke vacc. (hvid) og ingen eller påbegyndt vacc. (rød)'])) .render({renderer: 'svg'}) }33:T8de,viewof procentVaccineret12plus = { vl.vega.formatLocale(daDKFormat) return vl.data([latestVaccination]) // [vaccinationMap.get(currentDate)] .transform( vl.calculate(`${vaccinationProcent}/100`).as('targetVaccinationPercent'), vl.calculate(`${latestVaccination.accumulatedStarted/popCount(vaccinationsAlderStart,130)}`).as('newPercentStarted'), vl.calculate(`${latestVaccination.accumulatedFinished/popCount(vaccinationsAlderStart,130)}`).as('newPercentFinished') ) .layer( vl.markRect({tooltip: false}) .encode( vl.x().fieldQ('newPercentStarted').axis({labelFlush: false, format: "%"}).scale({domain: [0,1]}).title(''), vl.tooltip([{field: 'percentStarted',title: 'Procent', format: '.1f'}]) ), vl.markRect({tooltip: false, color: 'darkgreen'}) .encode( vl.x().fieldQ('newPercentFinished').axis({format: "%"}).scale({domain: [0,1]}).title(''), vl.tooltip([{field: 'percentFinished',title: 'Procent', format: '.1f'}]) ), vl.markText({format: '.1%', align: 'right', color: 'blue', dy: -16}) .encode( vl.x().fieldQ('newPercentStarted'), vl.text().field('newPercentStarted').format('.1%') ), vl.markText({format: '.1%', align: 'right', color: 'darkgreen', dy: -26}) .encode( vl.x().fieldQ('newPercentFinished'), vl.text().field('newPercentFinished').format('.1%') ), vl.markRule({color: 'grey', strokeWidth: 2}) .encode( vl.x().fieldQ('targetVaccinationPercent') ), vl.markText({format: '.0%', color: 'grey', align: 'left', dx: 0, dy: -30}) .encode( vl.x().fieldQ('targetVaccinationPercent'), vl.text().field('targetVaccinationPercent').format('.0%') ), vl.markText({fontSize: 18, align: 'left', dx: -1, dy: -16}) .encode( vl.x().fieldQ('targetVaccinationPercent'), vl.text().value('🏁') ) ) .width(WIDTHSMALL*1.1) .title(title(`Andel af befolkningen (${vaccinationsAlderStart}+ år) vaccineret`, ['pr. ' + dkDate(latestVaccinationDate), 'færdigvacc. (grøn) og påbegyndt vacc. (blå)'])) .render({renderer: 'svg'}) }34:T545,// This plot is based in part on the pictogram grid example // Copyright Alan Smith, MIT License // http://bl.ocks.org/alansmithy/d832fc03f6e6a91e99f4 vl.markPoint({filled: true, opacity: 0.7, size: 46}) .encode( vl.x() .fieldO('col') .axis(null), vl.y() .fieldO('row') .axis(null), vl.color() .fieldN('cat') .scale({range: ['darkgreen','#5176a8','grey','darkred']}) .legend(false), vl.shape({value: 'M1.7 -1.7h-0.8c0.3 -0.2 0.6 -0.5 0.6 -0.9c0 -0.6 -0.4 -1 -1 -1c-0.6 0 -1 0.4 -1 1c0 0.4 0.2 0.7 0.6 0.9h-0.8c-0.4 0 -0.7 0.3 -0.7 0.6v1.9c0 0.3 0.3 0.6 0.6 0.6h0.2c0 0 0 0.1 0 0.1v1.9c0 0.3 0.2 0.6 0.3 0.6h1.3c0.2 0 0.3 -0.3 0.3 -0.6v-1.8c0 0 0 -0.1 0 -0.1h0.2c0.3 0 0.6 -0.3 0.6 -0.6v-2c0.2 -0.3 -0.1 -0.6 -0.4 -0.6z'}) ) .data(d3.range(1,101).map(d=>({id: d, cat: Math.floor(d) <= latestVaccination.percentFinished ? 0 : Math.floor(d) <= latestVaccination.percentStarted ? 1 : Math.floor(d) <= vaccinationProcent*populationPercent(vaccinationsAlderStart,130) ? 2 : 3}))) .transform( vl.calculate('ceil(datum.id/10)').as('row'), vl.calculate('datum.id-datum.row*10').as('col') ) .config({view: {stroke: null}}) .width(HEIGHT) .height(HEIGHT) .render({renderer: 'svg'})35:Tde9,{ const tooltip = [{field: 'ageGroup', title: 'Aldersgruppe'}, {field: 'gender', title: 'Køn'}, {field: 'countAbs', title: 'Antal'}, {field: 'ttFinish', title: 'Færdigvaccinerede'}, {field: 'ttStart', title: 'Vaccination påbegyndt'}, {field: 'ttNot', title: 'Ikke vaccineret'}] vl.vega.formatLocale(daDKFormat) return vl.layer( // hele befolkningsgruppen (ikke vaccinerede) vl.markBar({opacity: 0.15}) .encode( vl.y().fieldO('ageGroup').title(null).sort('descending').axis({ticks: false, domain: false, offset: 30, labelFontSize: 12, labelAlign: 'center'}), vl.x().aggregate('sum').fieldQ('count').title('Befolkning') .axis({labelFlush: false, labelExpr: 'datum.value == 0 ? "0" : format(abs(datum.value), ".3s")'}), vl.color().fieldN('gender').title('Køn').scale({range: ['red', 'blue']}), vl.tooltip(Array.prototype.concat(({field: 'GruppeIV', title: 'Gruppe'}), tooltip)) ), // påbegyndt vaccination vl.markBar({opacity: 0.3}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().aggregate('sum').fieldQ('vacStart'), vl.color().fieldN('gender'), vl.tooltip(Array.prototype.concat(({field: 'GruppePV', title: 'Gruppe'}), tooltip)) ), // færdigvaccinerede vl.markBar({opacity: 0.9}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().aggregate('sum').fieldQ('vacFinish'), vl.color().fieldN('gender'), vl.tooltip(Array.prototype.concat(({field: 'GruppeFV', title: 'Gruppe'}), tooltip)) ), // færdigvaccinerede i % (grøn skrift) vl.markText({color: 'darkgreen', align: 'center', size: 11, angle: 0, dx: 0, dy: -6}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().fieldQ('xpos'), vl.text().fieldQ('percentFinishAbs').format('.1%') ), // påbegyndt vaccination i % (grå skrift) vl.markText({color: 'darkgrey', align: 'center', size: 9, angle: 0, dx: 0, dy: 6}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().fieldQ('xpos'), vl.text().fieldQ('percentStartAbs').format('.1%') ) ) .data(vaccinationGroupsDates.get(scrubberDate)) .transform( vl.calculate('abs(datum.count)').as('countAbs'), vl.calculate('abs(datum.vacStart)').as('vacStartAbs'), vl.calculate('abs(datum.vacFinish)').as('vacFinishAbs'), vl.calculate('datum.vacStartAbs/datum.countAbs').as('percentStartAbs'), vl.calculate('datum.vacFinishAbs/datum.countAbs').as('percentFinishAbs'), vl.calculate('"Ikke vaccinerede"').as('GruppeIV'), vl.calculate('"Påbegyndt vaccination"').as('GruppePV'), vl.calculate('"Færdigvaccinerede"').as('GruppeFV'), vl.calculate(`datum.count + (abs(datum.count)/datum.count * ${XPOSFACTOR})`).as('xpos'), vl.calculate('datum.vacStartAbs + " ≈ " + format(datum.percentStartAbs, ".1%")').as('ttStart'), vl.calculate('datum.vacFinishAbs + " ≈ " + format(datum.percentFinishAbs, ".1%")').as('ttFinish'), vl.calculate('datum.countAbs-datum.vacStartAbs + " ≈ " + format(1-datum.percentStartAbs, ".1%")').as('ttNot') ) .title(title('Vaccinerede fordelt på aldersgrupper og køn', dkDate(scrubberDate))) .config({view: {stroke: null}, axis: {grid: false}}) .width(WIDTHSMALL).height(HEIGHTBIG) .render({renderer: 'svg'}) }36:Tb52,{ const tooltip = [{field: 'ageGroup', title: 'Aldersgruppe'}, {field: 'gender', title: 'Køn'}, {field: 'countAbs', title: 'Antal'}, {field: 'ttFinish', title: 'Færdigvaccinerede'}, {field: 'ttStart', title: 'Vaccination påbegyndt'}, {field: 'ttNot', title: 'Ikke vaccineret'}] vl.vega.formatLocale(daDKFormat) return vl.layer( // påbegyndt vaccination vl.markBar({opacity: 0.3}) .encode( vl.y().fieldO('ageGroup').sort('descending').axis({ticks: false, domain: false, offset: 30, labelFontSize: 12, labelAlign: 'center'}).title(null), vl.x().fieldQ('percentStart').title('Andel vaccinerede').scale({domain: [-1,1]}).axis({labelFlush: false, labelExpr: 'format(abs(datum.value), ".0%")'}), vl.color().fieldN('gender').title('Køn').scale({range: ['red', 'blue']}), vl.tooltip(Array.prototype.concat(({field: 'GruppePV', title: 'Gruppe'}), tooltip)) ), // marker 90% vl.markRule({opacity: 0.3, color: 'darkgrey', strokeWidth: 1.5, strokeDash: [4,6]}) .encode(vl.x({datum: vaccinationProcent/100})), vl.markRule({opacity: 0.3, color: 'darkgrey', strokeWidth: 1.5, strokeDash: [4,6]}) .encode(vl.x({datum: -vaccinationProcent/100})), // færdigvaccinerede vl.markBar({opacity: 0.7}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().fieldQ('percentFinish'), vl.color().fieldN('gender'), vl.tooltip(Array.prototype.concat(({field: 'GruppeFV', title: 'Gruppe'}), tooltip)) ) ) .data(vaccinationGroupsDates.get(latestVaccinationDate)) .transform( vl.calculate('abs(datum.count)').as('countAbs'), vl.calculate('abs(datum.vacStart)').as('vacStartAbs'), vl.calculate('abs(datum.vacFinish)').as('vacFinishAbs'), vl.calculate('datum.vacStart/datum.countAbs').as('percentStart'), vl.calculate('datum.vacFinish/datum.countAbs').as('percentFinish'), vl.calculate('datum.vacStartAbs/datum.countAbs').as('percentStartAbs'), vl.calculate('datum.vacFinishAbs/datum.countAbs').as('percentFinishAbs'), vl.calculate('"Ikke vaccinerede"').as('GruppeIV'), vl.calculate('"Påbegyndt vaccination"').as('GruppePV'), vl.calculate('"Færdigvaccinerede"').as('GruppeFV'), vl.calculate('datum.vacStartAbs + " ≈ " + format(datum.percentStartAbs, ".1%")').as('ttStart'), vl.calculate('datum.vacFinishAbs + " ≈ " + format(datum.percentFinishAbs, ".1%")').as('ttFinish'), vl.calculate('datum.countAbs-datum.vacStartAbs + " ≈ " + format(1-datum.percentStartAbs, ".1%")').as('ttNot') ) .title(title('Andel vaccinerede fordelt på alder og køn', dkDate(latestVaccinationDate))) .width(WIDTHSMALL) .height(HEIGHTBIG) .render({renderer: 'svg'}) }37:Teab,{ const tooltip = [{field: 'region', title: 'Region'}, {field: 'ageGroup', title: 'Aldersgruppe'}, {field: 'gender', title: 'Køn'}, {field: 'countAbs', title: 'Antal'}, {field: 'ttFinish', title: 'Færdigvaccinerede'}, {field: 'ttStart', title: 'Vaccination påbegyndt'}, {field: 'ttNot', title: 'Ikke vaccineret'}] vl.vega.formatLocale(daDKFormat) return vl.layer( // hele befolkningsgruppen (ikke vaccinerede) vl.markBar({opacity: 0.15}) .encode( vl.y().fieldO('ageGroup').title(null).sort('descending').axis({ticks: false, domain: false, offset: 30, labelFontSize: 12, labelAlign: 'center'}), vl.x().aggregate('sum').fieldQ('count').title('Befolkning') .axis({labelFlush: false, labelExpr: 'datum.value == 0 ? "0" : format(abs(datum.value), ".3s")'}), vl.color().fieldN('gender').title('Køn').scale({range: ['red', 'blue']}).legend(false), vl.tooltip(Array.prototype.concat(({field: 'GruppeIV', title: 'Gruppe'}), tooltip)) ), // påbegyndt vaccination vl.markBar({opacity: 0.3}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().aggregate('sum').fieldQ('vacStart'), vl.color().fieldN('gender'), vl.tooltip(Array.prototype.concat(({field: 'GruppePV', title: 'Gruppe'}), tooltip)) ), // færdigvaccinerede vl.markBar({opacity: 0.9}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().aggregate('sum').fieldQ('vacFinish'), vl.color().fieldN('gender'), vl.tooltip(Array.prototype.concat(({field: 'GruppeFV', title: 'Gruppe'}), tooltip)) ), /* // færdigvaccinerede i % (grøn skrift) vl.markText({color: 'darkgreen', align: 'center', angle: 0, dx: 0, dy: -6}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().fieldQ('xpos'), vl.text().fieldQ('percentFinishAbs').format('.1%') ), // påbegyndt vaccination i % (grå skrift) vl.markText({color: 'darkgrey', align: 'center', angle: 0, dx: 0, dy: 6}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().fieldQ('xpos'), vl.text().fieldQ('percentStartAbs').format('.1%') ) */ ) .transform( vl.calculate('abs(datum.count)').as('countAbs'), vl.calculate('abs(datum.vacStart)').as('vacStartAbs'), vl.calculate('abs(datum.vacFinish)').as('vacFinishAbs'), vl.calculate('datum.vacStartAbs/datum.countAbs').as('percentStartAbs'), vl.calculate('datum.vacFinishAbs/datum.countAbs').as('percentFinishAbs'), vl.calculate('"Ikke vaccinerede"').as('GruppeIV'), vl.calculate('"Påbegyndt vaccination"').as('GruppePV'), vl.calculate('"Færdigvaccinerede"').as('GruppeFV'), vl.calculate(`datum.count + (abs(datum.count)/datum.count * ${XPOSFACTOR})`).as('xpos'), vl.calculate('datum.vacStartAbs + " ≈ " + format(datum.percentStartAbs, ".1%")').as('ttStart'), vl.calculate('datum.vacFinishAbs + " ≈ " + format(datum.percentFinishAbs, ".1%")').as('ttFinish'), vl.calculate('datum.countAbs-datum.vacStartAbs + " ≈ " + format(1-datum.percentStartAbs, ".1%")').as('ttNot') ) .width(150).height(300) .facet(vl.facet().fieldN('region').title('Region')) .title(title('Vaccinerede fordelt på aldersgrupper og køn i de fem regioner', dkDate(latestVaccinationDate))) .columns(5) .data(vaccinationPerRegionAndPopulationForPyramid) // .filter(d => d.region == region)) .config({view: {stroke: null}, axis: {grid: false}}) .render({renderer: 'svg'}) }38:Tc2b,{ const tooltip = [{field: 'region', title: 'Region'}, {field: 'ageGroup', title: 'Aldersgruppe'}, {field: 'gender', title: 'Køn'}, {field: 'countAbs', title: 'Antal'}, {field: 'ttFinish', title: 'Færdigvaccinerede'}, {field: 'ttStart', title: 'Vaccination påbegyndt'}, {field: 'ttNot', title: 'Ikke vaccineret'}] vl.vega.formatLocale(daDKFormat) return vl.layer( // påbegyndt vaccination vl.markBar({opacity: 0.3}) .encode( vl.y().fieldO('ageGroup').sort('descending').axis({ticks: false, domain: false, offset: 30, labelFontSize: 12, labelAlign: 'center'}).title(null), vl.x().fieldQ('percentStart').title('Andel vaccinerede').scale({domain: [-1,1]}).axis({labelFlush: false, labelExpr: 'format(abs(datum.value), ".0%")'}), vl.color().fieldN('gender').title('Køn').scale({range: ['red', 'blue']}).legend(false), vl.tooltip(Array.prototype.concat(({field: 'GruppePV', title: 'Gruppe'}), tooltip)) ), // marker 90% vl.markRule({opacity: 0.3, color: 'darkgrey', strokeWidth: 0.5, strokeDash: [4,6]}) .encode(vl.x({datum: vaccinationProcent/100})), vl.markRule({opacity: 0.3, color: 'darkgrey', strokeWidth: 0.5, strokeDash: [4,6]}) .encode(vl.x({datum: -vaccinationProcent/100})), // færdigvaccinerede vl.markBar({opacity: 0.7}) .encode( vl.y().fieldO('ageGroup').sort('descending'), vl.x().fieldQ('percentFinish'), vl.color().fieldN('gender'), vl.tooltip(Array.prototype.concat(({field: 'GruppeFV', title: 'Gruppe'}), tooltip)) ) ) .transform( vl.calculate('abs(datum.count)').as('countAbs'), vl.calculate('abs(datum.vacStart)').as('vacStartAbs'), vl.calculate('abs(datum.vacFinish)').as('vacFinishAbs'), vl.calculate('datum.vacStart/datum.countAbs').as('percentStart'), vl.calculate('datum.vacFinish/datum.countAbs').as('percentFinish'), vl.calculate('datum.vacStartAbs/datum.countAbs').as('percentStartAbs'), vl.calculate('datum.vacFinishAbs/datum.countAbs').as('percentFinishAbs'), vl.calculate('"Ikke vaccinerede"').as('GruppeIV'), vl.calculate('"Påbegyndt vaccination"').as('GruppePV'), vl.calculate('"Færdigvaccinerede"').as('GruppeFV'), vl.calculate('datum.vacStartAbs + " ≈ " + format(datum.percentStartAbs, ".1%")').as('ttStart'), vl.calculate('datum.vacFinishAbs + " ≈ " + format(datum.percentFinishAbs, ".1%")').as('ttFinish'), vl.calculate('datum.countAbs-datum.vacStartAbs + " ≈ " + format(1-datum.percentStartAbs, ".1%")').as('ttNot') ) .width(150).height(300) .facet(vl.facet().fieldN('region').title('Region')) .title(title('Procentdel vaccinerede fordelt på aldersgrupper og køn i de fem regioner', dkDate(latestVaccinationDate))) .columns(5) .data(vaccinationPerRegionAndPopulationForPyramid) .config({view: {stroke: null}, axis: {grid: false}}) .render({renderer: 'svg'}) }39:T6eb,{ vl.vega.formatLocale(daDKFormat) function plot(field, axis, descript, vacGroup) { return vl.layer( vl.markRect({tooltip: true}) .encode( vl.x().field('isoWeek') .title('Uge') .axis(axis), vl.color().max(field) .scale({domain: [0].concat(d3.range(1,11).map(d =>100*Math.sqrt(d/10))), scheme: 'redyellowgreen'}) .legend(false) ), vl.markText({fontSize: 10, align: 'center'}) .encode( vl.x().field('isoWeek'), vl.text().max(field).format('.0f') ), vl.markText({fontSize: 10, align: 'left'}) .encode( vl.x().value(-53), vl.y().value(9), vl.text().value(descript) ) ) .encode( vl.tooltip([{field: vacGroup, title: 'Gruppe'}, {field: 'isoWeek', title: 'Uge'}, {field: field, op: 'max', format: '.1f', title: `Procent`}]) ) .width(WIDTH) } return vl.data(vaccination.map(d => ({...d, isoWeek: isoWeek(new Date(d.date))}))) .transform( vl.calculate('"Påbegyndt vaccination"').as('GruppePV'), vl.calculate('"Færdigvaccinerede"').as('GruppeFV'), ) .vconcat( plot('percentStarted', null, 'Påbegyndt', 'GruppePV'), plot('percentFinished', {labelAlign: 'right', labelAngle: -90}, 'Færdigvac.', 'GruppeFV'), ) .autosize({type: 'pad', contains: 'padding', resize: true}) .padding({top: 5, bottom: 5, left: 0, right: 5}) .config({concat: {spacing: 3}}) .title(title(`Procent påbegyndt og færdigvaccinerede`,`over tid for hele befolkningen`)) .render({renderer: 'svg'}) }3a:T4e4,viewof vaccinationTotalPrDag = { vl.vega.timeFormatLocale(daDKTime) const plot = vl.markBar({tooltip: true, size: 2}) .encode( vl.x().timeYMD('date').title('Dato').axis({labelFlush: false}), vl.y().aggregate('sum').fieldQ('vaccination').title('Antal vaccinationer').scale({domain: [0,100000]}), vl.color().fieldN('status').title('Status').scale({range: ["green","#5176a8"]}), vl.tooltip([{field: 'date', type: 'temporal', title: 'Dato'}, {field: 'vaccinationFinished', title: 'Færdigvaccinerede'}, {field: 'vaccinationStarted', title: 'Påbegyndte vaccinationer'}, {field: 'total', title: 'Total antal vaccinationer'}]) ) return vl.data(vaccination.reduce((a,c) => Array.prototype.concat(a, [{...c, vaccination: c.vaccinationStarted, status: 'Påbegyndt vacc.'}], [{...c, vaccination: c.vaccinationFinished, status: 'Færdigvacc.'}]), [])) .transform( vl.calculate('datum.vaccinationStarted + datum.vaccinationFinished').as('total') ) .vconcat(plot.width(WIDTH).height(HEIGHT)) .title(title('Total antal vaccinationer (doser) pr. dag','')) .render({renderer: 'svg'}) }3b:T14ef,// vaccination graph with comparison to goal viewof vaccinationAkkumuleret = { vl.vega.timeFormatLocale(daDKTime) const vf = new Date(vaccinationFaerdigDato) const dateStart = {"year": 2020, "month": 12, "date": 27} const dateEnd = {"year": vf.getFullYear(), "month": vf.getMonth()+1, "date": vf.getDate()} const dateRange = [dateStart, dateEnd] const lf = new Date(latestVaccinationDate) const vacFStart = {"year": 2021, "month": 1, "date": 17} // first possible date to finish vaccination const latestVac = {"year": lf.getFullYear(), "month": lf.getMonth()+1, "date": lf.getDate()} const dayCount = 1+d3.timeDay.count(new Date('2020-12-27'), new Date(vaccinationFaerdigDato)) const popBelow = populationPercent( 0, 15)*totalPopulation const popAbove = populationPercent(vaccinationsAlderStart,130)*totalPopulation vl.vega.formatLocale(({decimal: ',', thousands: '.', grouping: [3]})) const plot = vl.layer( vl.markArea({tooltip: true, line: {color: 'RoyalBlue'}, opacity: 0.8, strokeWidth: 4}) .encode( vl.x().timeYMD('date').title('Dato'), vl.y().fieldQ('start').title('Antal vaccinationer').scale({domain: [0, 6e6]}), vl.tooltip([{field: 'date', type: 'temporal', title: 'Dato'}, {field: 'start', title: 'Antal påbegyndt vaccination'}]) ) .transform(vl.groupby('date').aggregate(vl.sum('accumulatedStarted').as('start'))), vl.markArea({tooltip: true, line: {color: 'darkgreen'}, opacity: 0.8, strokeWidth: 4, color: 'green'}) .encode( vl.x().timeYMD('date'), vl.y().fieldQ('finish'), vl.tooltip([{field: 'date', type: 'temporal', title: 'Dato'}, {field: 'finish', title: 'Antal færdig vaccination'}]) ) .transform(vl.groupby('date').aggregate(vl.sum('accumulatedFinished').as('finish'))), vl.markArea({tooltip: true, line: {color: 'DarkSlateGray'}, opacity: 0.8, strokeWidth: 4, color: 'lightgrey'}) .encode( vl.x().timeYMD('date'), vl.y().fieldQ('rev1'), vl.tooltip([{field: 'date', type: 'temporal', title: 'Dato'}, {field: 'rev1', title: 'Antal 1. revaccination'}]) ) .transform(vl.groupby('date').aggregate(vl.sum('accumulatedRevacc1').as('rev1'))), // samlet befolkning vl.markRule({tooltip: false, opacity: 0.8, strokeWidth: 1.5, color: 'black'}) .encode(vl.y({datum: totalPopulation})), vl.markText({format: '.1%', align: 'left', baseline: 'bottom', color: 'black', dx: 2, dy: -1}) .encode(vl.x({datum: dateStart}), vl.y({datum: totalPopulation}), vl.text().value('Hele befolkningen = 100%')), // befolkning vaccinationsAlderStart+ år vl.markRule({tooltip: false, opacity: 0.8, strokeWidth: 1.5, color: 'grey'}) .encode(vl.y({datum: popAbove})), vl.markText({format: '.1%', align: 'left', baseline: 'bottom', color: 'grey', dx: 2, dy: -1}) .encode(vl.x({datum: dateStart}), vl.y({datum: popAbove}), vl.text().value(`Befolkningen ${vaccinationsAlderStart}+ år ≈ ${daNum((populationPercent(vaccinationsAlderStart,130)*100).toFixed(1))}%`)), // andel vaccineret af samlet befolkning ved given målsætning vl.markRule({tooltip: false, opacity: 0.8, strokeWidth: 1.5, color: 'darkgreen', strokeDash: [4, 8]}) .encode( vl.y({datum: popAbove*vaccinationProcent/100}) ), vl.markText({align: 'left', baseline: 'bottom', color: 'darkgreen', dx: 2, dy: -2}) .encode( vl.x({datum: dateStart}), vl.y({datum: popAbove*vaccinationProcent/100}), vl.text().value(`Vaccinationsmål: ${daNum(vaccinationProcent,0)}% af befolkningen ${vaccinationsAlderStart}+ år ≈ ${daNum((popAbove/totalPopulation*vaccinationProcent).toFixed(1))}%`) ), // påbegyndt vaccination i procent vl.markText({align: 'left', baseline: 'center', color: '#5176a8', dx: 2, dy: 0}) .encode( vl.x({datum: latestVac}), vl.y({datum: latestVaccination.percentStarted*totalPopulation/100}), vl.text().value('Påbegyndt: ' + daNum(latestVaccination.percentStarted.toFixed(1)) + '%') ), // færdigvaccineret i procent vl.markText({align: 'left', baseline: 'top', color: 'darkgreen', dx: 2, dy: 0}) .encode( vl.x({datum: latestVac}), vl.y({datum: latestVaccination.percentFinished*totalPopulation/100}), vl.text().value('Færd.vacc.: ' + daNum(latestVaccination.percentFinished.toFixed(1)) + '%') ), // 1. revaccination i procent vl.markText({align: 'left', baseline: 'center', color: 'grey', dx: 2, dy: 0}) .encode( vl.x({datum: latestVac}), vl.y({datum: accumulatedRevaccination1}), vl.text().value('1.revacc.: ' + daNum((100*accumulatedRevaccination1/totalPopulation).toFixed(1)) + '%') ) ) return vl.data(vaccinationRegion.concat(vaccination.filter(d => d.date <= '2021-02-18'))) .vconcat(plot.width(WIDTH).height(HEIGHTBIG)) .title(title('Akkumuleret antal vaccinationer over tid',['påbegyndte (blå), færdigvacc (grøn) og 1. revacc. (grå)','Vaccinationsmålsætning ≈ ' + daNum((popAbove/totalPopulation*vaccinationProcent).toFixed(1)) + '% af befolkningen'])) .render({renderer: 'svg'}) }3c:T5fb,{ vl.vega.timeFormatLocale(daDKTime) return vl.layer( vl.markBar({tooltip: true}) .encode( vl.x().fieldO('yearMonth').title('Måned').axis({labelAngle: -90, labelFlush: false}), vl.y().sum('dailyDosisPercent').title('Procent af samlede doser').axis({format: "%"}), vl.tooltip([{field: 'yearMonth', type: 'ordinal', title: 'Måned'}, //{field: 'dailyDosis', op: 'sum', title: 'Antal doser'}, {field: 'dailyDosisPercent', op: 'sum', title: 'Procent doser', format: '.1%'}]) ), vl.markText({align: 'center', dy: -20}) .encode( vl.x().fieldO('yearMonth'), vl.y().sum('dailyDosisPercent'), vl.text().sum('dailyDosisPercent').format('.1%') ), vl.markText({align: 'center', size: 10, color: 'grey', dy: -8}) .encode( vl.x().fieldO('yearMonth'), vl.y().sum('dailyDosisPercent'), vl.text().sum('dailyDosis') ) ) .data(vaccination) .transform( vl.calculate('substring(datum.date, 0, 7)').as('yearMonth'), vl.calculate('datum.vaccinationStarted + datum.vaccinationFinished').as('dailyDosis'), vl.calculate(`datum.dailyDosis / ${dosisTotal}`).as('dailyDosisPercent') ) .width(WIDTHSMALL) .height(HEIGHT) .title(title('Fordeling af vaccinedoser givet de forskellige måneder','Med gråt antal doser givet den pågældende måned')) .render({renderer: 'svg'}) }3d:T41f,vaccinationGroupsAll = dates.reduce((acc,date) => { const pop = populationGroups.reduce((a,c) => { const vacM = vaccinationAgeGenderDate(c.ageGroup, 'Mænd', date) const vacF = vaccinationAgeGenderDate(c.ageGroup, 'Kvinder', date) const vacStartMen = vacM.vacStart const vacFinishMen = vacM.vacFinish const vacStartWomen = vacF.vacStart const vacFinishWomen = vacF.vacFinish return Array.prototype.concat( a, [{date: date, isoWeek: isoWeek(new Date(date)), ageGroup: c.ageGroup, count: c.women+c.men, vacStart: vacStartWomen+vacStartMen, vacFinish: vacFinishWomen+vacFinishMen, percentStart: (vacStartWomen+vacStartMen)/(c.women+c.men), percentFinish: (vacFinishWomen+vacFinishMen)/(c.women+c.men) }] ) }, []) return Array.prototype.concat(acc, pop) }, [])3e:T60a,function vaccinationHeatmap(field, descript) { vl.vega.formatLocale(daDKFormat) const heatmap = vl.layer( vl.markRect({tooltip: true}) .encode( vl.x().fieldO('isoWeek') .title('Uge') .axis({labelAlign: 'right', labelAngle: -90}), vl.y().fieldN(vl.repeat('row')) .title('Aldersgruppe') .sort({field: 'ageGroup', order: 'descending'}), vl.color().max('percent') .scale({domain: [0].concat(d3.range(1,11).map(d => 100*Math.sqrt(d/10))), scheme: 'redyellowgreen', reverse: false}) .legend(false) ), vl.markText({tooltip: true, fontSize: 10, align: 'center'}) .encode( vl.x().fieldO('isoWeek'), vl.y().fieldN(vl.repeat('row')) .sort({field: 'ageGroup', order: 'descending'}), vl.text().max('percent').format('.0f') ) ) .encode( vl.tooltip([{field: 'isoWeek', title: 'Uge'}, {field: 'ageGroup', title: 'Aldersgruppe'}, {field: 'percent', op: 'max', format: '.1f', title: `Procent ${descript}`}]) ) .width(WIDTH) .height(HEIGHT/1.15) .repeat({row: ['ageGroup']}) return vl.data(vaccinationGroupsAll) .transform( vl.calculate(`datum.${field}*100`).as('percent') ) .vconcat(heatmap) .title(title(`Procent ${descript}`,`over tid fordelt på aldersgrupper`)) .render({renderer: 'svg'}) }3f:T485,function vaccinationHeatmapAll (field, descript) { return vl.data(vaccination.map(d => ({...d, isoWeek: isoWeek(new Date(d.date))}))) .layer( vl.markRect({tooltip: true}) .encode( vl.x().field('isoWeek') .title('Uge') .axis({labelAlign: 'right', labelAngle: -90}), vl.color().max(field) .scale({domain: [0].concat(d3.range(1,11).map(d => 100*Math.sqrt(d/10))), scheme: 'redyellowgreen', reverse: false}) .legend(false) ), vl.markText({fontSize: 10, align: 'center'}) .encode( vl.x().field('isoWeek'), vl.text().max(field).format('.0f') ) ) .encode( vl.tooltip([{field: 'isoWeek', title: 'Uge'}, {field: field, op: 'max', format: '.1f', title: `Procent ${descript}vaccinerede`}]) ) .autosize({type: 'pad', contains: 'padding', resize: true}) .padding({top: 5, bottom: 5, left: 55, right: 5}) .width(WIDTHSMALL) .title(title(`Procent ${descript}vaccinerede over tid`,`hele befolkningen`)) .render({renderer: 'svg'}) }40:T64d,function vaccinationHeatmapRegion(field, text) { return vl.layer( vl.markRect({tooltip: true}) .encode( vl.x().fieldO('region') .title('Region') .axis({orient: 'top', labelAlign: 'left', labelAngle: -90,}), vl.y().fieldN(vl.repeat('row')) .title('Aldersgruppe') .sort({field: 'ageGroup', order: 'descending'}), vl.color().max(field) .scale({domain: [0].concat(d3.range(1,11).map(d => 100*Math.sqrt(d/10))), scheme: 'redyellowgreen', reverse: false}) .legend(false) ), vl.markText({tooltip: true, fontSize: 10, align: 'center'}) .encode( vl.x().fieldO('region'), vl.y().fieldN(vl.repeat('row')) .sort({field: 'ageGroup', order: 'descending'}), vl.text().max(field).format('.0f') ) ) .encode( vl.tooltip([{field: 'region', title: 'Region'}, {field: 'ageGroup', title: 'Aldersgruppe'}, {field: field, op: 'max', format: '.1f', title: `Procent ${text}`}]) ) .width(WIDTHSMALL/2.5) .height(HEIGHT/1.15) .repeat({row: ['ageGroup']}) .data(vaccinationPerRegionPopulationTotalPlusDanmark) .transform( vl.calculate(`datum.vacStart*100/datum.count`).as('percentStart'), vl.calculate(`datum.vacFinish*100/datum.count`).as('percentFinish'), ) .title(title(`Procent ${text} vaccination`,[`i hele landet og i de fem regioner`])) .render({renderer: 'svg'}) } 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2f:{"id":"3101057641907e64","slug":"covid-19-dk-vaccination","title":"COVID-19-DK Vaccinationstilslutning","thumbnail":"8470ed64caca64117c424d25a085e3c6380c2d17b77cb3e585ecff84a7729b65","access_level":"public","create_time":"$D2021-04-22T06:42:38.272Z","update_time":"$D2023-04-26T11:38:57.678Z","view_time":null,"first_public_time":"$D2021-04-22T21:33:57.692Z","fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"0eb80d083f3c085d","login":"jakobeglarsen","name":"Jakob Eg Larsen","avatar_url":"https://avatars-next.observableusercontent.com/d9b54a363b3452f2a2ee8762f2eb13142f5e2113d0e9a52f56aa96d74cd67e0f","tier":"starter_2024"},"version":4141,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"72118ab1a532958d","login":"jakobeglarsen","name":"Jakob Eg Larsen","avatar_url":"https://avatars-next.observableusercontent.com/d9b54a363b3452f2a2ee8762f2eb13142f5e2113d0e9a52f56aa96d74cd67e0f","tier":null}],"members":[{"type":"individual","id":"72118ab1a532958d","login":"jakobeglarsen","name":"Jakob Eg Larsen","avatar_url":"https://avatars-next.observableusercontent.com/d9b54a363b3452f2a2ee8762f2eb13142f5e2113d0e9a52f56aa96d74cd67e0f","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"0f1a7149d1f1daf0","slug":"covid19-dk","title":"COVID-19-DK","owner":{"id":"0eb80d083f3c085d","login":"jakobeglarsen","name":"Jakob Eg Larsen"}},"type":"notebook","body":{"title":"COVID-19-DK Vaccinationstilslutning","cells":[{"id":0,"value":"md`# COVID-19-DK Vaccinationstilslutning`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":472,"value":"md`Seneste vaccinationsdata: _${dkDate(latestVaccinationDate)}_.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":475,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":643,"value":"md`## Status på vaccinationstilslutningen`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":585,"value":"md`Pr. ${dkDate(latestVaccination.date)} er status, at\n\n* **${daNum(latestVaccination.accumulatedStarted,0)}** er _påbegyndt vaccination_, svarende til **${daNum(latestVaccination.percentStarted.toFixed(1))}%** af befolkningen\n* **${daNum(latestVaccination.accumulatedFinished,0)}** er _færdigvaccineret_, hvilket svarer til **${daNum(latestVaccination.percentFinished.toFixed(1))}%** af befolkningen\n* **${daNum(accumulatedRevaccination1,0)}** har fået _første revaccination_, svarende til **${daNum((100*accumulatedRevaccination1/totalPopulation).toFixed(1),0)}%** af befolkningen\n* ≈**${daNum(totalPopulation-latestVaccination.accumulatedStarted,0)}** er _ikke vaccineret_, hvilket svarer til **${daNum(100-latestVaccination.percentStarted.toFixed(1))}%** af befolkningen\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":591,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3630,"value":"md`Hvis man antager at vaccinere ${daNum(vaccinationProcent,0)}% af befolkningen (${vaccinationsAlderStart}+ år), vil man ud fra disse forudsætninger opnå at ca. ${daNum((vaccinationProcent*populationPercent(vaccinationsAlderStart,130)).toFixed(1))}% af den samlede befolkning bliver vaccineret (markeret med gråt og 🏁 i ovenstående graf).\n\nNedenfor vises andelen af vaccinerede af befolkningen ${vaccinationsAlderStart}+ år. Dette tal indikerer hvor tæt man er på at opnå målet om at ${daNum(vaccinationProcent,0)}% af denne del af befolkningen bliver vaccineret.` ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3627,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3698,"value":"I tal mangler ca. **${round((popCount(vaccinationsAlderStart,130)*.9) - latestVaccination.accumulatedStarted)}** at påbegynde og ca. **${round((popCount(vaccinationsAlderStart,130)*.9) - latestVaccination.accumulatedFinished)}** at afslutte vaccination for at nå målsætningen på 90% af de ${vaccinationsAlderStart}+ årige. \n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":594,"value":"md`En anden måde at illustrere status på vaccinationstilslutningen er at repræsentere hele den danske befolkning som 100 personer, som vist nedenfor.\n\n* Grønne er _færdigvaccinerede_\n* Blå er _påbegyndt vaccination_\n* Lyse grå er (endnu) _ikke vaccinerede_\n* Røde _forventes ikke vaccineret_ \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1802,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":479,"value":"md`## Vaccinationer fordelt på alder og køn\nNedenfor vises en oversigt over _antal vaccinationer_ fordelt på aldersgrupper og køn for hele landet.\n\n* ${square(26,0,255,1)}${square(246,14,29,1)} De mørkeste farver angiver de _færdigvaccinerede_ i aldersgruppen. \n* ${square(136,130,255,1)}${square(248,135,136,1)} De lidt lysere farver angiver de _påbegyndt vaccinerede_ i aldersgruppen. \n* ${square(192,190,255,1)}${square(251,192,193,1)} De helt lyse farver angiver de _ikke vaccinerede_ i aldersgruppen. \n\nUd for hver befolkningsgruppe er andelen af færdigvaccinerede angivet i procent med grøn skrift og andelen af påbegyndte vaccinationer i procent med lys grå skrift. Flere detaljer fås ved at holde musepilen over de forskellige områder på grafen.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":967,"value":"viewof scrubberDate = Scrubber(dates, {\n autoplay: false,\n loop: true,\n loopDelay: 1500,\n delay: 85,\n initial: dates.length-1,\n format: date => dkDate(date)\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1474,"value":"{\n vl.vega.timeFormatLocale(daDKTime) \n const cd = new Date(scrubberDate)\n const dateMark = {\"year\": cd.getFullYear(), \"month\": cd.getMonth() + 1, \"date\": cd.getDate()} \n const plot = vl.layer(\n vl.markBar({tooltip: false}) \n .encode(\n vl.x().fieldT('date').title(null).axis({labelFlush: false, tickCount: new Date(latestVaccinationDate).getMonth() + 1}),\n vl.y().aggregate('sum').fieldQ('total').axis(null).title(null)\n //vl.y().fieldQ('accumulated').axis(null).title(null)\n ),\n vl.markRule({color: 'darkred', strokeWidth: 0.5, opacity: 0.1})\n .encode(vl.x({datum: dateMark}))\n )\n return vl.data(vaccination)\n .transform(\n vl.calculate('datum.vaccinationStarted + datum.vaccinationFinished').as('total'),\n //vl.calculate('datum.accumulatedStarted + datum.accumulatedFinished').as('accumulated')\n )\n .config({view: {stroke: null}, axis: {grid: false}})\n .vconcat(plot.width(WIDTHSMALL*1.1).height(20))\n .render({renderer: 'svg'})\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":195,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1584,"value":"md`_Note: Vaccinationer påbegyndtes 27. december 2020, men SSI har først fra 7. januar 2021 offentliggjort data om fordelingen af vaccinationer på køn og alder. Derfor er fordelingen af vaccinationer på køn og alder i dagene fra 27. december 2020 til 6. januar 2021 estimeret ud fra de første officielle opgivne tal 7. januar 2021._\n\nNedenfor vises en oversigt over _andelen af befolkningen der er vaccineret_ fordelt på aldersgrupper og køn. I vaccinationsplanen antages det at minimum ${daNum(vaccinationProcent,0)}% af befolkningen ${vaccinationsAlderStart}+ år vil tilslutte sig vaccination.\n\n* ${square(26,0,255,1)}${square(246,14,29,1)} De mørkeste farver angiver de _færdigvaccinerede_ i aldersgruppen. \n* ${square(192,190,255,1)}${square(251,192,193,1)} De lidt lysere farver angiver de _påbegyndt vaccinerede_ i aldersgruppen.\n* ${square(250,250,250,1)}${square(250,250,250,1)} De hvide områder angiver de _ikke vaccinerede_.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1628,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3477,"value":"md`_Note: Hvis 90% af aldersgruppen 5-9 år lader sig vaccinere vil det svare til at ${daNum((popCount(5,9) / popCount(0,9) * 0.9 * 100).toFixed(1))}% af gruppen 0-9 år vil være vaccineret._`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3106,"value":"md`## Vaccinationer i de fem regioner\n\nNedenfor vises den aktuelle status på vaccinationer fordelt på alder og køn i de fem regioner.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2657,"value":"$37","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3182,"value":"md`Nedenfor vises en oversigt over _procentdelen af befolkningen i de fem regioner der er vaccineret_ fordelt på aldersgrupper og køn.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3160,"value":"$38","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3111,"value":"md`Nedenfor vises en oversigt over den aktuelle status på procent påbegyndt og procent afsluttede vaccinationer fordelt på alder og køn, dels for hele landet, dels for de fem regioner.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2784,"value":"vaccinationHeatmapRegion('percentStart','påbegyndt')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2795,"value":"vaccinationHeatmapRegion('percentFinish','afsluttet')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":559,"value":"md`## Vaccinationer over tid \nNedenfor vises to _heatmaps_ der viser henholdvis andelen af _påbegyndt vaccinerede_ og _færdigvaccinerede_ (i procent) fordelt på aldersgrupper over tid for hele landet.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2139,"value":"vaccinationHeatmap('percentStart', 'påbegyndt vaccination')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2160,"value":"vaccinationHeatmap('percentFinish', 'færdigvaccinerede')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2141,"value":"md`Nedenfor vises _heatmaps_ for henholdvis andelen af _påbegyndt vaccinerede_ og _færdigvaccinerede_ (i procent) for hele befolkningen over tid.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2329,"value":"$39","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2133,"value":"md`Nedenfor vises et søjlediagram der viser antal påbegyndte vaccinationer pr. dag over tid.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":536,"value":"viewof vaccinationPrDag = { \n \n vl.vega.timeFormatLocale(daDKTime)\n const plot = vl.layer( \n vl.markBar({tooltip: true, size: 2}) \n .encode(\n vl.x().timeYMD('date').title('Dato').axis({labelFlush: false}),\n vl.y().fieldQ('vaccinationStarted').title('Antal vaccinationer').scale({domain: [0,100000]})\n ),\n vl.markRule({opacity: 0.5, color: 'red', strokeDash: [4,6]})\n .encode(\n vl.y({datum: averageVaccinationStarted}),\n vl.size({value: 1})\n )\n )\n \n return vl.data(vaccination)\n .vconcat(plot.width(WIDTH).height(HEIGHT))\n .title(title('Antal vaccinationer påbegyndt pr. dag','(gennemsnit angivet med en rød stiplet linje)')) \n .render({renderer: 'svg'})\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":572,"value":"md`I gennemsnit er ${daNum(averageVaccinationStarted.toFixed(0),0)} påbegyndt vaccination pr. dag (siden 27. december 2020).`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":576,"value":"md`Nedenfor ses et søjlediagram der viser hvor mange vaccinationer der er afsluttet pr. dag over tid.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":580,"value":"viewof vaccinationAfsluttetPrDag = {\n \n vl.vega.timeFormatLocale(daDKTime) \n const plot = vl.layer( \n vl.markBar({tooltip: true, color: 'green', size: 2}) \n .encode(\n vl.x().timeYMD('date').title('Dato').axis({labelFlush: false}),\n vl.y().fieldQ('vaccinationFinished').title('Antal vaccinationer afsluttet').scale({domain: [0,60000]}) \n ),\n vl.markRule({opacity: 0.5, color: 'red', strokeDash: [4,6]})\n .encode(\n vl.y({datum: averageVaccinationFinished}),\n vl.size({value: 1})\n )\n )\n \n return vl.data(vaccination)\n .vconcat(plot.width(WIDTH).height(HEIGHT))\n .title(title('Antal vaccinationer afsluttet pr. dag','(gennemsnit siden 17. januar 2021 angivet med en rød stiplet linje)')) \n .render({renderer: 'svg'})\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":582,"value":"md`I gennemsnit har ${daNum(averageVaccinationFinished.toFixed(0),0)} afsluttet vaccination pr. dag (siden 17. januar 2021).`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":825,"value":"md`Nedenfor ses hvor mange vaccinationer der er foretaget i alt pr. dag over tid.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":658,"value":"$3a","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3728,"value":"*Note: I ovenstående tre grafer mangler data fra 28. april 2021 og data fra den 7. maj 2021 omfatter data fra både den 6. og 7. maj, pga manglede data fra SSI. De manglende data lørdage og søndage fra den 25. september 2021 skyldes at SSI ikke længere frigiver vaccinationsdata for weekenden.*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":596,"value":"md`Nedenfor vises andelen af påbegyndt og færdigvaccinerede over tid, samt andelen der har fået første revaccination.`\n ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3994,"value":"$3b","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3276,"value":"md`Nedenfor vises hvor mange procent af de samlede vaccinedoser er givet i de forskellige måneder siden december 2020, hvor man påbegyndte vaccinationsprogrammmet.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3191,"value":"$3c","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":4025,"value":"*Note: Inkluderer ikke revaccinationsdoser.*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":776,"value":"md`## Taksigelse / Acknowledgment\nTak til Thomas Blomseth Christiansen [@tblomseth](http://www.twitter.com/tblomseth) for inspiration og samarbejde. Thomas' notebook med [COVID-19 DK datavisualiseringer](https://observablehq.com/@tblomseth/covid-19-dk), som fokuserer på fordelingen af smittede på kommuner og regioner, kan varmt anbefales.\n\nThe plot above using a \"pictogram grid\" is based in part on [an example](http://bl.ocks.org/alansmithy/d832fc03f6e6a91e99f4) copyright [Alan Smith](https://bl.ocks.org/alansmithy), licensed under [The MIT License](https://opensource.org/licenses/MIT). \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":468,"value":"md`## Datahåndtering`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":509,"value":"md`#### Vaccinationer over tid` ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":4057,"value":"vaccinationsAlderStart = 5","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3603,"value":"vaccinationProcent = 90","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3600,"value":"vaccinationFaerdigDato = expectedVaccinationFinishDate","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":611,"value":"expectedVaccinationFinishDate = '2021-10-01'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":615,"value":"calculatedVaccinationFinishDate = { \n // antal dage før vaccinationer er færdiggjort \n const daysToFinishVaccinations = populationPercent(12,130)*totalPopulation*vaccinationProcent/100 / averageVaccinationFinished\n const finishDate = d3.timeDay.offset(new Date('2021-01-17'), daysToFinishVaccinations) \n return d3.timeFormat('%Y-%m-%d')(finishDate)\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":629,"value":"vaccinationModelProcent = latestVaccination.day / vaccinationDeltaDage * vaccinationProcent * populationPercent(vaccinationsAlderStart,130)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":632,"value":"vaccinationDeltaDage = 1+d3.timeDay.count(new Date('2020-12-27'), new Date(vaccinationFaerdigDato))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":543,"value":"latestVaccination = _.last(vaccination)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1352,"value":"vaccinationMap = vaccination.reduce((a,c) => a.set(c.date, c), new Map())","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":541,"value":"latestVaccinationDate = latestVaccination.date","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":539,"value":"averageVaccinationStarted = vaccination.reduce((a,c) => a+c.vaccinationStarted, 0) / d3.timeDay.count(new Date('2020-12-26'), new Date(latestVaccinationDate))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":626,"value":"averageVaccinationFinished = vaccination.reduce((a,c) => a+c.vaccinationFinished, 0) / d3.timeDay.count(new Date('2021-01-16'), new Date(latestVaccinationDate))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":514,"value":"dateRegEx = /^\\d{4}[-]\\d{2}[-]\\d{2}$/","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":512,"value":"// source: https://covid19.ssi.dk/overvagningsdata/vaccinationstilslutning \nvaccination1 = d3.csvParseRows(await d3.text(vaccinationGist+'vaccination.csv')).map(d => (\n {\n date: d[0].substring(6,10)+'-'+d[0].substring(3,5)+'-'+d[0].substring(0,2),\n vaccinationStarted: strToNum(d[1]),\n accumulatedStarted: strToNum(d[2]),\n percentStarted: strToNum(d[3]),\n percentStartedCalc: strToNum(d[2])/totalPopulation*100,\n vaccinationFinished: d[4] == '-' ? 0 : strToNum(d[4]),\n accumulatedFinished: d[5] == '-' ? 0 : strToNum(d[5]),\n percentFinished: d[6] == '-' ? 0 : strToNum(d[6]),\n percentFinishedCalc: d[4] == '-' ? 0 : strToNum(d[5])/totalPopulation*100\n } \n))\n.filter(d => d.date.match(dateRegEx) != null)\n.map(d => ({...d, day: 1+d3.timeDay.count(new Date('2020-12-27'), new Date(d.date))}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":520,"value":"// source: https://covid19.ssi.dk/overvagningsdata/download-fil-med-vaccinationsdata\nvaccination2Region = d3.csvParse(await d3.text(vaccinationGist+'vaccination2.csv')).map(d => (\n {\n date: d['Date'], \n region: d['Region'],\n sex: d['Sex'],\n vaccinationStarted: +d['Started'],\n accumulatedStarted: +d['StartedAccumulated'], \n vaccinationFinished: +d['Finished'],\n accumulatedFinished: +d['FinishedAccumulated'] \n } \n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3811,"value":"// source: https://covid19.ssi.dk/overvagningsdata/download-fil-med-vaccinationsdata\n//Date,Region,Sex,StartedAccumulated,FinishedAccumulated,Revacc1Today,StartedYesterday,FinishedYesterday,Revacc1Yesterday,Started,Finished,Revacc1\nvaccination3Region = d3.csvParse(await d3.text(vaccinationGist+'vaccination3.csv')).map(d => (\n {\n date: d['Date'], \n region: d['Region'],\n sex: d['Sex'],\n vaccinationStarted: +d['Started'],\n accumulatedStarted: +d['StartedAccumulated'], \n vaccinationFinished: +d['Finished'],\n accumulatedFinished: +d['FinishedAccumulated'],\n revacc1: +d['Revacc1'],\n accumulatedRevacc1: +d['Revacc1Today']\n } \n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":523,"value":"vaccination2and3 = _.uniq(vaccinationRegion.map(d => d.date), true) // unique dates in the vaccination2 dataset \n .map(d => vaccinationRegion.filter(e => e.date == d).reduce((a, c) => \n ({\n date: c.date, \n vaccinationStarted: c.vaccinationStarted + a.vaccinationStarted, \n accumulatedStarted: c.accumulatedStarted + a.accumulatedStarted,\n vaccinationFinished: c.vaccinationFinished + a.vaccinationFinished,\n accumulatedFinished: c.accumulatedFinished + a.accumulatedFinished\n }), \n ({date: null, \n vaccinationStarted: 0, \n accumulatedStarted: 0,\n vaccinationFinished: 0,\n accumulatedFinished: 0})\n ))\n .map(d => ({...d, \n percentStarted: +Number.parseFloat(d.accumulatedStarted / totalPopulation * 100).toFixed(1),\n percentFinished: +Number.parseFloat(d.accumulatedFinished / totalPopulation * 100).toFixed(1),\n day: 1+d3.timeDay.count(new Date('2020-12-27'), new Date(d.date)) \n }))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3819,"value":"vaccinationRegion = vaccination2Region.concat(vaccination3Region)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3932,"value":"_.last(vaccinationRegion)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":525,"value":"vaccination = Array.prototype.concat(vaccination1.filter(d => d.date < '2021-02-19'), vaccination2and3.filter(d => d.date != ''))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3186,"value":"dosisTotal = vaccination.reduce((a,c) => a+c.vaccinationStarted+c.vaccinationFinished, 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":498,"value":"md`#### Vaccinationer fordelt på aldersgrupper og køn`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":527,"value":"totalPopulation = populationGroupsWithVaccinations.reduce((a,c) => a+Math.abs(c.count), 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":950,"value":"latestVaccinationGroupsDate = vaccinationGroups[vaccinationGroups.length-1].date","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":973,"value":"dates = [...new Set(vaccinationGroups.map(d => d.date))]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1382,"value":"vaccinationGroups1 = d3.csvParse(\n await FileAttachment('Vaccination_2020-12-27_2021-02-18.csv').text(), d => {\n return {\n date: d['Dato'],\n region: d['Region'],\n ageGroup: d['Aldersgruppe'],\n menStart: +d['Mænd påbegyndt'],\n menFinished: +d['Mænd færdigvaccineret'],\n womenStart: +d['Kvinder påbegyndt'],\n womenFinished: +d['Kvinder færdigvaccineret'],\n dosesTotal: +d['Doser i alt']\n }\n }).reduce((a,c) => Array.prototype.concat(\n a, \n [{...c, gender: 'Mænd', vacStart: c.menStart, vacFinish: c.menFinished}],\n [{...c, gender: 'Kvinder', vacStart: c.womenStart, vacFinish: c.womenFinished}]),\n [])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":438,"value":"vaccinationGroups2 = d3.csvParse(await d3.text(vaccinationGist+'Vaccinationer_region_aldgrp_koen.csv'))\n .map(d => ({date: d['Dato'],\n region: d['Regionsnavn'],\n ageGroup: d['Aldersgruppe'],\n gender: d['sex'] == 'K' ? 'Kvinder' : 'Mænd',\n vacStart: +d['Antal første vacc.'],\n vacFinish: +d['Antal faerdigvacc.']}))\n .filter(d => d.ageGroup != '')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1390,"value":"vaccinationGroups = Array.prototype.concat(vaccinationGroups1, vaccinationGroups2)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1009,"value":"function vaccinationAgeGenderDate(ageGroup, gender, date) {\n return vaccinationGroups\n .filter(d => d.date == date)\n .reduce((a,c) => c.ageGroup == ageGroup && c.gender == gender ? \n ({vacStart: a.vacStart + c.vacStart, vacFinish: a.vacFinish + c.vacFinish}) : a,\n ({vacStart: 0, vacFinish: 0})) \n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1007,"value":"vaccinationGroupsDates = dates.reduce((acc,date) => {\n const pop = populationGroups.reduce((a,c) => {\n const vacM = vaccinationAgeGenderDate(c.ageGroup, 'Mænd', date)\n const vacF = vaccinationAgeGenderDate(c.ageGroup, 'Kvinder', date)\n const vacStartMen = vacM.vacStart\n const vacFinishMen = vacM.vacFinish\n const vacStartWomen = vacF.vacStart\n const vacFinishWomen = vacF.vacFinish \n return Array.prototype.concat(\n a, \n [{ageGroup: c.ageGroup, count: -c.men, gender: 'Mænd', vacStart: -vacStartMen, vacFinish: -vacFinishMen}],\n [{ageGroup: c.ageGroup, count: c.women, gender: 'Kvinder', vacStart: vacStartWomen, vacFinish: vacFinishWomen}]\n )\n }, [])\n return acc.set(date, pop) \n }, new Map()) ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2009,"value":"$3d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2574,"value":"vaccinationPerRegion = vaccinationGroups2.filter(d => d.date == _.last(dates))\n .map(d => ({...d, key: d.region+d.ageGroup+d.gender})) ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2728,"value":"vaccinationPerRegionAndPopulation = [...vaccinationPerRegion.concat(populationRegions).reduce((m,o) =>\n m.set(o.key, Object.assign(m.get(o.key) || {}, o)),\n new Map()).values()]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2646,"value":"vaccinationPerRegionAndPopulationForPyramid = vaccinationPerRegionAndPopulation \n .map(d => d.gender == 'Mænd' ? ({...d, vacStart: -d.vacStart, vacFinish: -d.vacFinish, count: -d.count}): d)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2726,"value":"vaccinationPerRegionAndPopulationTotal = vaccinationPerRegionAndPopulation.reduce((a,c) => {\n const pred = a.length > 0 ? a[a.length-1] : null \n if (pred == null) {\n return [c]\n } else {\n if (pred.region == c.region && pred.ageGroup == c.ageGroup) {\n const sum = ({region: c.region, \n ageGroup: c.ageGroup, \n vacStart: pred.vacStart + c.vacStart, \n vacFinish: pred.vacFinish + c.vacFinish,\n count: pred.count + c.count})\n a.pop()\n return Array.prototype.concat(a, [sum])\n } else {\n return Array.prototype.concat(a, c)\n }\n }\n }, [])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2762,"value":"vaccinationPerRegionPopulationTotalPlusDanmark = vaccinationPerRegionAndPopulationTotal.concat(\n vaccinationGroupsAll.filter(d=>d.date == latestVaccinationDate).map(d=>({...d, region: 'Hele Danmark'})))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1128,"value":"populationGroupsWithVaccinations = vaccinationGroupsDates.get(latestVaccinationGroupsDate)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":721,"value":"md`#### Befolkningstal`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2,"value":"populationAllAges = d3.csvParse(\n await FileAttachment(\"2021Q4_DK_population.csv\").text(), d => {\n return {\n age: parseInt(d['Age']),\n men: +d['Men'],\n women: +d['Women']\n }\n }).reduce((a,c) => Array.prototype.concat(\n a, \n [{age: c.age, count: -c.men, gender: 'Mænd'}],\n [{age: c.age, count: c.women, gender: 'Kvinder'}]),\n [])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1011,"value":"populationGroups = d3.csvParse(\n await FileAttachment(\"2021Q4_DK_population_10year.csv\").text(), d => {\n return {\n ageGroup: d['Age'],\n men: +d['Men'],\n women: +d['Women']\n }\n })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2608,"value":"populationRegions = d3.csvParse(\n await FileAttachment(\"2021Q4_DK_population_region_gender.csv\").text(), d => {\n return {\n ageGroup: d['Aldersgrp'],\n region: d['Region'],\n men: +d['Mænd'],\n women: +d['Kvinder']\n }\n })\n .reduce((a,c) => a.concat(\n {ageGroup: c.ageGroup, region: c.region, gender: 'Kvinder', count: c.women, key: c.region+c.ageGroup+'Kvinder'},\n {ageGroup: c.ageGroup, region: c.region, gender: 'Mænd', count: c.men, key: c.region+c.ageGroup+'Mænd'}\n ), [])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2166,"value":"md`#### Funktioner til visualisering af heatmaps` ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2249,"value":"$3e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2096,"value":"$3f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2716,"value":"$40","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":780,"value":"md`### Hjælpefunktioner`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":782,"value":"function square(r, g, b, a) {\n const size = 18\n const ctx = DOM.context2d(size, size)\n ctx.fillStyle = `rgba(${r},${g},${b},${a})`\n ctx.fillRect(0, 0, size - 1, size - 1)\n return ctx.canvas\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1550,"value":"daNum = (f, digits=1) => new Intl.NumberFormat(\"da\", {minimumFractionDigits: digits}).format(f)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3742,"value":"round = (n, d=1000) => Math.round(n/d) * d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":548,"value":"md`#### Konstanter`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":550,"value":"HEIGHT = 280","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":896,"value":"HEIGHTBIG = HEIGHT * 1.5","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":554,"value":"WIDTH = Math.round(width * 0.8)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":889,"value":"WIDTHSMALL = Math.min(WIDTH, 580) ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1187,"value":"XPOSFACTOR = parseInt(71217-WIDTHSMALL*53.8224)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1498,"value":"daDKFormat = ({decimal: ',', thousands: '.', grouping: [3]})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1483,"value":"daDKTime = ({\n date: '%d.%m.%Y',\n time: '%H.%M.%S',\n periods: [],\n days: ['søndag', 'mandag', 'tirsdag', 'onsdag', 'torsdag', 'fredag', 'lørdag'],\n shortDays: ['sø.', 'ma.', 'ti.', 'on.', 'to.', 'fr.', 'lø.'],\n dayOrder: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],\n months: ['januar', 'februar', 'marts', 'april', 'maj', 'juni', 'juli', 'august', 'september', 'oktober', 'november', 'december'],\n shortMonths: ['Jan', 'Feb', 'Mar', 'Apr', 'Maj', 'Jun', 'Jul', 'Aug', 'Sep', 'Okt', 'Nov', 'Dec']\n })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":505,"value":"md`#### Datakilde`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":435,"value":"vaccinationGist = 'https://gist.githubusercontent.com/jakobeglarsen/bc1f5e050841e55a2071415046f77aa5/raw/'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":500,"value":"md`#### Eksterne biblioteker`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":516,"value":"import {strToNum, isoWeek, title, dkDate, populationPercent} from '@jakobeglarsen/covid-19-dk'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":531,"value":"// Lodash FP cf. https://observablehq.com/@mbostock/hello-lodash-fp\n_ = {\n const [_, fp] = await Promise.all([\n require(\"lodash@4\"),\n require(\"https://cdn.jsdelivr.net/gh/lodash/lodash@4/dist/lodash.fp.min.js\")\n ]);\n return fp(_);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":969,"value":"import {Scrubber} from \"@mbostock/scrubber\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":621,"value":"import {date} from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":618,"value":"import {Range, Select} from \"@observablehq/inputs\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":12,"value":"import {vl} from '@vega/vega-lite-api'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"d3 = require(\"d3@6\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":567,"value":"md`#### Andet`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3845,"value":"accumulatedRevaccination1 = \n vaccination3Region.filter(d => d.date == latestVaccinationDate)\n .reduce((a,c) => a + c.accumulatedRevacc1, 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":334,"value":"vl.markBar({opacity: 0.7}) \n .data(populationGroupsWithVaccinations)\n .transform(\n vl.calculate('abs(datum.count)').as('countAbs')\n )\n .encode(\n vl.y().fieldO('ageGroup').title(' ').sort('descending'), \n vl.x().aggregate('sum').fieldQ('count').title('Befolkningstal').axis({format: 's'})\n .axis({labelExpr: 'datum.value == 0 ? \"0\" : format(abs(datum.value), \".3s\")'}), \n vl.color().fieldN('gender').title('Køn').scale({ range: [\"red\",\"blue\"] }),\n vl.tooltip([{field: 'ageGroup', title: 'Aldersgruppe'},\n {field: 'gender', title: 'Køn'},\n {field: 'countAbs', title: 'Antal'}]) \n )\n .title({text: 'Befolkningspyramide for Danmark 4. kvartal 2021'})\n .config({view: {stroke: null}, axis: {grid: false}})\n .width(400).height(300)\n .render({renderer: 'svg'})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":26,"value":"dkBefolkningspyramide = vl.markArea({opacity: 0.7})\n .data(populationAllAges.filter(d => d.age <= 110))\n .transform(\n vl.calculate('abs(datum.count)').as('countAbs')\n )\n .encode(\n vl.y().fieldQ('age').title(' '), \n vl.x().aggregate('sum').fieldQ('count').title('Befolkningstal').axis({format: 's'})\n .axis({labelExpr: 'datum.value == 0 ? \"0\" : format(abs(datum.value), \".0s\")'}),\n vl.color().fieldN('gender').title('Køn').scale({ range: [\"red\",\"blue\"] }),\n vl.tooltip([{field: 'age', title: 'Alder'},\n {field: 'gender', title: 'Køn'},\n {field: 'countAbs', title: 'Antal'}]) \n )\n .title({text: 'Befolkningspyramide for Danmark 4. kvartal 2021'})\n .config({view: {stroke: null}, axis: {grid: false}})\n .width(400).height(400)\n .render({renderer: 'svg'})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3590,"value":"viewof vaccinationerForventetPrDag = Range([5000, 30000], {width: 700, value: 18500, step: 500, label: \"Målsætning for antal vaccinationer pr. dag\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3611,"value":"viewof vaccinationProcentInput = Range([0, 100], {width: 400, value: 90, step: 1, label: \"Målsætning for procentdel af befolkningen (12+ år) vaccineret\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3593,"value":"viewof vaccinationFaerdigDatoInput = date({\n title: \"Vaccination af andel af befolkning forventet opnået den\", \n value: expectedVaccinationFinishDate,\n description: \"Her kan du selv eksperimentere med at ændre datoen for hvornår vaccination af ovenstående andel af befolkningen (12+ år) forventes opnået og se hvorledes det påvirker tallene og nedenstående graf.\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3359,"value":"function popCount(a1, a2) {\n return populationAllAges.reduce((a,c) => c.age >= a1 && c.age <= a2 ? a + Math.abs(c.count) : a, 0)\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3366,"value":"md`\nHvis 90% af aldersgruppen 16-19 år lader sig vaccinere vil \n${daNum((popCount(16,19) / popCount(10,19) * 0.9 * 100).toFixed(1))}% \naf gruppen 10-19 år være vaccineret.\n\nHvis 90% af aldersgruppen 12-19 år lader sig vaccinere vil \n${daNum((popCount(12,19) / popCount(10,19) * 0.9 * 100).toFixed(1))}% \naf gruppen 10-19 år være vaccineret.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W41","stdlib":"1","titling":"auto"}} 30:"$2f:body"