31:T62c,{ const record = _.last(dataGroupedByLocation.find(d => d.location == selectedRegion).items); const date = record.date; const dateLastWeek = record.weekAgoRecord.date; const dateLast2Week = record.weekAgoRecord.weekAgoRecord.date; const newCasesToday = record.new_cases; const newDeathsToday = record.new_deaths; const casesToday = record.total_cases; const deathsToday = record.total_deaths; const casesLastWeek = record.weekAgoRecord.total_cases; const deathsLastWeek = record.weekAgoRecord.total_deaths; const casesLast2Week = record.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast2Week = record.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const newCases = casesToday - casesLastWeek; const newDeaths = deathsToday - deathsLastWeek; const newCasesLastWeek = casesLastWeek - casesLast2Week; const newDeathsLastWeek = deathsLastWeek - deathsLast2Week; const casesTimesLastWeek = casesToday / casesLastWeek; moment.locale('es'); return html` #coronavirus #${selectedRegion.toLowerCase().split(" ").join("_")}
${moment(referenceDate).format("dddd D MMMM")}

Hoy se REPORTA

${d3.format(".2s")(newCases)} nuevos casos confirmados desde el ${moment(referenceDate).format("dddd")} pasado

${d3.format(",")(newDeaths)} nuevos fallecidos reportados desde el ${moment(referenceDate).format("dddd")} pasado
` }32:T510,{ const out = html`

${_.take(fallecidosUltimaSemanaPorRegion,8).map(d => ` `)}

Región	Fallecidos última semana
${d.location}	${d.fallecidosSemanales}

${_.takeRight(fallecidosUltimaSemanaPorRegion,8).map(d => ` `)}

Región	Fallecidos última semana
${d.location}	${d.fallecidosSemanales}

`; return out; } 33:T74b,{ const record = _.last(dataGroupedByLocation.find(d => d.location == selectedRegion).items); const date = record.date; const dateLastWeek = record.weekAgoRecord.date; const dateLast2Week = record.weekAgoRecord.weekAgoRecord.date; const newCasesToday = record.new_cases; const newDeathsToday = record.new_deaths; const casesToday = record.total_cases; const deathsToday = record.total_deaths; const casesLastWeek = record.weekAgoRecord.total_cases; const deathsLastWeek = record.weekAgoRecord.total_deaths; const casesLast2Week = record.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast2Week = record.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const newCases = casesToday - casesLastWeek; const newDeaths = deathsToday - deathsLastWeek; const newCasesLastWeek = casesLastWeek - casesLast2Week; const newDeathsLastWeek = deathsLastWeek - deathsLast2Week; const newCasesLast2Week = casesLast2Week - casesLast3Week; const newDeathsLast2Week = deathsLast3Week - deathsLast3Week; const casesTimesLastWeek = casesToday / casesLastWeek; return html` Evolución de nuevos casos confirmados en 7 días

Los de hoy (${d3.format(".3s")(newCases)}) son ${d3.format(".2s")(newCases-newCasesLastWeek)} ${(newCases-newCasesLastWeek) > 0 ? `más`: `menos`} que lo observado hace una semana (${d3.format(".3s")(newCasesLastWeek)})

Hace una semana esta diferencia era ${d3.format(".2s")(newCasesLastWeek-newCasesLast2Week)} ${(newCasesLastWeek-newCasesLast2Week) > 0 ? `más`: `menos`} que lo observado la semana previa (${d3.format(".3s")(newCasesLastWeek)} - ${d3.format(".3s")(newCasesLast2Week)})

` return ``}34:T7e4,{ function getDifference(location) { const record = _.last(dataGroupedByLocation.find(d => d.location == location).items); const date = record.date; const dateLastWeek = record.weekAgoRecord.date; const dateLast2Week = record.weekAgoRecord.weekAgoRecord.date; const newCasesToday = record.new_cases; const newDeathsToday = record.new_deaths; const casesToday = record.total_cases; const deathsToday = record.total_deaths; const casesLastWeek = record.weekAgoRecord.total_cases; const deathsLastWeek = record.weekAgoRecord.total_deaths; const casesLast2Week = record.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast2Week = record.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast4Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast4Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const newCases = casesToday - casesLastWeek; const newDeaths = deathsToday - deathsLastWeek; const newCasesLastWeek = casesLastWeek - casesLast2Week; const newDeathsLastWeek = deathsLastWeek - deathsLast2Week; const newCasesLast2Week = casesLast2Week - casesLast3Week; const newDeathsLast2Week = deathsLast2Week - deathsLast3Week; const casesTimesLastWeek = casesToday / casesLastWeek; return newDeaths-newDeathsLastWeek } return html` Evolución de nuevos fallecidos (PCR+) reportados en 7 días:

${_.take(fallecidosUltimaSemanaPorRegion,5).map(d => ` ${d.location.toUpperCase()}
${getDifference(d.location) !== 0 ? d3.format("d")(Math.abs(getDifference(d.location))): ``} ${ (getDifference(d.location)) > 0 ? `más que`: (getDifference(d.location)) < 0 ? `menos que` : `Igual a`} lo observado hace una semana

`)} ` } 35:T8fc,html`

Aumento de nuevas cifras semanales comparado con el mismo día de la semana previa

OJO: esto puede costar entenderlo porque se refiere a cómo aumenta el aumento. Es un indicador muy útil para entender "cómo evoluciona" el brote

Todos los días se reportan nuevas cifras (ej. casos confirmados, fallecidos...). Si sumamos las nuevas cifras reportadas en los últimos 7 días, tenemos las cifras reportadas en la semana (nuevas cifras semanales). Esto equivale al total de hoy menos el total que observábamos 7 días atrás.

Este número (nuevas cifras semanales) puede crecer o disminuir a medida que pasa el tiempo. Un indicador de cómo crecen las cifras es la diferencia entre las cifras semanales a una fecha específica y las cifras semanales el mismo día de la semana previa.

Esta diferencia (nuevas cifras semanales hoy menos nuevas cifras semanales hace 7 días) puede ser un número positivo (las cifras semanales aumentan) o negativo (las cifras semanales disminuyen).

Pero también podemos observar cómo evoluciona esa diferencia:

si la diferencia es positiva y aumenta día a día, quiere decir que es un aumento acelerado

si la diferencia es positiva y disminuye día tras día, quiere decir que es un aumento desacelerado

si la diferencia es negativa, quiere decir que es una reducción

La meta es reducir las nuevas cifras semanales y mantener la reducción hasta que lleguemos a 0.

Los gráficos siguientes representan como evoliuciona diaramente la diferencia entre los nuevas cifras semanales.

	Aumento acelerado
	Aumento desacelerado
	Reducción

`36:Tb6f,{ const record = _.last(dataGroupedByLocation.find(d => d.location == "Chile").items); const record1DayAgo = _.chain(dataGroupedByLocation.find(d => d.location == "Chile").items) .takeRight(2) .first() .value(); const record2DayAgo = _.chain(dataGroupedByLocation.find(d => d.location == "Chile").items) .takeRight(3) .first() .value(); const _metric = "total_cases" function get7DaysIncrease(d) { const metric =_metric; if (d[metric] && d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord) { return ((+d[metric] - d.weekAgoRecord[metric]) - (+d.weekAgoRecord[metric] - d.weekAgoRecord.weekAgoRecord[metric])) } else { return 0 } } const accelerationToday = get7DaysIncrease(record); const acceleration1DayAgo = get7DaysIncrease(record1DayAgo); const acceleration2DayAgo = get7DaysIncrease(record2DayAgo); const acceleration7DayAgo = get7DaysIncrease(record.weekAgoRecord); const increasing = accelerationToday < acceleration2DayAgo; const increasingVsLastWeek = accelerationToday < acceleration7DayAgo; const date = record.date; const dateLastWeek = record.weekAgoRecord.date; const dateLast2Week = record.weekAgoRecord.weekAgoRecord.date; const newCasesToday = record.new_cases; const newDeathsToday = record.new_deaths; const casesToday = record.total_cases; const deathsToday = record.total_deaths; const casesLastWeek = record.weekAgoRecord.total_cases; const deathsLastWeek = record.weekAgoRecord.total_deaths; const casesLast2Week = record.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast2Week = record.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast4Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast4Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const newCases = casesToday - casesLastWeek; const newDeaths = deathsToday - deathsLastWeek; const newCasesLastWeek = casesLastWeek - casesLast2Week; const newDeathsLastWeek = deathsLastWeek - deathsLast2Week; const newCasesLast2Week = casesLast2Week - casesLast3Week; const newDeathsLast2Week = deathsLast2Week - deathsLast3Week; const casesTimesLastWeek = casesToday / casesLastWeek; return html` El "aumento del aumento" de casos confirmados semanales hoy (${d3.format(".3s")(accelerationToday)}) ${ increasing ? `ES MENOR que hace 2 días atrás` : `NO ES MENOR que hace 2 días atrás`} (${d3.format(".3s")(acceleration2DayAgo)}) y ${ increasingVsLastWeek ? `ES MENOR que hace 7 días` : `NO ES MENOR que hace 7 días atrás`} (${d3.format(".3s")(acceleration7DayAgo)})

` }37:T565,{ const windowSize = 36; function growthRate(items) { const windowOffset = 1; const lastItems = _.takeRight(items,windowSize); const reg = d3Regression.regressionLinear() .x(d => +d.i) .y(d => +d.new_cases) const trend = reg(lastItems.map((d,i) => { d.i = i; return d; })) return { recentDays: lastItems, trend: trend } } function maxCases(items) { const max = d3.max(items, d => +d.total_cases); return max; } const topLocations = _.chain(dataGroupedByLocation) .filter(d => { return (d.location == selectedRegion) }) //.groupBy(d => growthRate(d.items).trend.a > 0 ? 1 : -1) .value() debugger; const out = html`

${_.chain(topLocations).sortBy(d => d.location).map(d => { const newCasesTrend = growthRate(d.items); const el = html`

${selectedRegion}

` const visEl = d3.select(el).select("div.vis svg"); const visObj = new NewWeeklyDeathsChartVis(visEl.node()); visObj.metric("total_cases").render(newCasesTrend) return el }).value()}

` return html`` return out }38:Tbc0,{ function getAcceleration(location) { const record = _.last(dataGroupedByLocation.find(d => d.location == location).items); const record1DayAgo = _.chain(dataGroupedByLocation.find(d => d.location == location).items) .takeRight(2) .first() .value(); const record2DayAgo = _.chain(dataGroupedByLocation.find(d => d.location == location).items) .takeRight(3) .first() .value(); const _metric = "total_deaths" function get7DaysIncrease(d) { const metric =_metric; if (d[metric] && d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord) { return ((+d[metric] - d.weekAgoRecord[metric]) - (+d.weekAgoRecord[metric] - d.weekAgoRecord.weekAgoRecord[metric])) } else { return 0 } } const accelerationToday = get7DaysIncrease(record); const acceleration1DayAgo = get7DaysIncrease(record1DayAgo); const acceleration2DayAgo = get7DaysIncrease(record2DayAgo); const acceleration7DayAgo = get7DaysIncrease(record.weekAgoRecord); const increasing = accelerationToday < acceleration2DayAgo; const increasingVsLastWeek = accelerationToday < acceleration7DayAgo; const date = record.date; const dateLastWeek = record.weekAgoRecord.date; const dateLast2Week = record.weekAgoRecord.weekAgoRecord.date; const newCasesToday = record.new_cases; const newDeathsToday = record.new_deaths; const casesToday = record.total_cases; const deathsToday = record.total_deaths; const casesLastWeek = record.weekAgoRecord.total_cases; const deathsLastWeek = record.weekAgoRecord.total_deaths; const casesLast2Week = record.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast2Week = record.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast4Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast4Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const newCases = casesToday - casesLastWeek; const newDeaths = deathsToday - deathsLastWeek; const newCasesLastWeek = casesLastWeek - casesLast2Week; const newDeathsLastWeek = deathsLastWeek - deathsLast2Week; const newCasesLast2Week = casesLast2Week - casesLast3Week; const newDeathsLast2Week = deathsLast2Week - deathsLast3Week; const casesTimesLastWeek = casesToday / casesLastWeek; return accelerationToday } return html` El "aumento del aumento" de fallecidos semanales (PCR+) con respecto a la semana previa::

${_.take(fallecidosUltimaSemanaPorRegion,5).map(d => ` ${d.location.toUpperCase()} ${getAcceleration(d.location) < 0 ? `Muestra reducción`: `No muestra reducción`}
` )} ` }39:T106e,{ const today = dataDate; //const today = "2020-07-27" //dataDate; const lastWeek = moment(today).subtract(1,"week").format("YYYY-MM-DD"); const totalChile = { today: _.chain(examenesSemanales) .map((dates,region) => dates) .reduce((memo,d) => memo + d[today],0) .value(), lastWeek: _.chain(examenesSemanales) .map((dates,region) => dates) .reduce((memo,d) => memo + d[lastWeek],0) .value() } const out = html` ${_.chain(examenesSemanales) .map((dates,region) => ({dates:dates, region:region})) .take(8) .map((d) => ` `).value()}

Región	Exámenes PCR reportados últimos 7 días al ${moment(today).format("ddd DD MMM")}	Casos confirmados reportados últimos 7 días al ${moment(today).format("ddd DD MMM")}	Exámenes / Casos confirmados	Positividad
${d.region}	${d3.format(",")(d.dates[today])}	${d3.format(",")(casosSemanales[d.region][today])}	${d3.format(".1f")(d.dates[today]/casosSemanales[d.region][today])}	${d3.format(".1%")(casosSemanales[d.region][today]/d.dates[today])}

${_.chain(examenesSemanales) .map((dates,region) => ({dates:dates, region:region})) .takeRight(8) .map((d) => ` `).value()}

Región	Exámenes PCR reportados últimos 7 días al ${moment(today).format("ddd DD MMM")}	Casos confirmados reportados últimos 7 días al ${moment(today).format("ddd DD MMM")}	Exámenes / Casos confirmados	Positividad
${d.region}	${d3.format(",")(d.dates[today])}	${d3.format(",")(casosSemanales[d.region][today])}	${d3.format(".1f")(d.dates[today]/casosSemanales[d.region][today])}	${d3.format(".1%")(casosSemanales[d.region][today]/d.dates[today])}
Chile	${d3.format(",")(totalChile["today"])}	${d3.format(",")(casosSemanales["Chile"][today])}	= 10 ? 'positivo' : 'negativo'}">${d3.format(".1f")(totalChile["today"]/casosSemanales["Chile"][today])}	= 10 ? 'positivo' : 'negativo'}">${d3.format(".1%")(casosSemanales["Chile"][today]/totalChile["today"])}

` return out }3a:T1306,{ const record = _.last(dataGroupedByLocation.find(d => d.location == "Metropolitana").items); const poblacion = 8125072; function weeklyDeaths(record) { return record.total_deaths - record.weekAgoRecord.total_deaths } function incidencia(record) { return (record.total_cases - record.weekAgoRecord.weekAgoRecord.total_cases)*10000/poblacion } function positividad(record) { const examenes = examenesSemanales[record.location][record.date]; const casos = record.total_cases - record.weekAgoRecord.total_cases return 100*casos/examenes; } function ocupacionUCI(record) { const fecha = moment(record.date).subtract(0, "days").format("YYYY-MM-DD"); return encuestaSochimi_UCI_RM[fecha] } function diasSostenidosMuertes(record) { return sustainedReductionDeaths("Metropolitana").byWeek } const date = record.date; const dateLastWeek = record.weekAgoRecord.date; const dateLast2Week = record.weekAgoRecord.weekAgoRecord.date; const dateLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.date; const newCasesToday = record.new_cases; const newDeathsToday = record.new_deaths; const casesToday = record.total_cases; const deathsToday = record.total_deaths; const casesLastWeek = record.weekAgoRecord.total_cases; const deathsLastWeek = record.weekAgoRecord.total_deaths; const casesLast2Week = record.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast2Week = record.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const metrics = { incidencia : [incidencia(record)], fallecidos : [weeklyDeaths(record)], positividad: [positividad(record)], UCI : [ocupacionUCI(record)], diasSostenidos : [diasSostenidosMuertes(record)], diasSostenidosCasos : [sustainedReductionCases("Metropolitana").byWeek] } debugger; const casesTimesLastWeek = casesToday / casesLastWeek; return vegalite({ "$schema": "https://vega.github.io/schema/vega-lite/v4.json", "data": { "values": [ {"title":"Incidencia (nuevos casos confirmados en 14 días x 10 mil habs)", "ranges":[0,0,100],"measures":metrics.incidencia,"markers":[4]}, {"title":"Ocupación UCI (% de ocupación REGION METROPOLITANA)", "ranges":[0,0,100],"measures":metrics.UCI,"markers":[85]}, {"title":"Ocupación UCI (% de ocupación NACIONAL)", "ranges":[0,0,100],"measures":[85],"markers":[85]}, {"title":"Positividad (% de casos confirmados en tests reportados últimos 7 días)", "subtitle":"US$, average", "ranges":[0,0,100],"measures":metrics.positividad,"markers":[10]}, {"title":"Fallecidos (personas con PCR+ fallecidas últimos 7 días)", "subtitle":"count", "ranges":[0,0,1000],"measures":metrics.fallecidos,"markers":[25]}, {"title":"Trazabilidad (% nuevos casos asociados a casos en seguimiento)", "subtitle":"out of 5", "ranges":[0,0,100],"measures":[43],"markers":[60]}, {"title":"Número de reproducción (Re)", "ranges":[0,0,3],"measures":[factorRe],"markers":[1]}, {"title":"Días de reducción sostenida de fallecimientos", "ranges":[0,0,35],"measures":metrics.diasSostenidos,"markers":[21]}, {"title":"Días de reducción sostenida de casos", "ranges":[0,0,35],"measures":metrics.diasSostenidosCasos,"markers":[21]}, ] }, "facet": { "row": { "field": "title", "type": "ordinal", "header": {"labelAngle": 0, "labelAlign":"left",labelFontSize: 13, "title": "Indicadores importantes"} } }, "spacing": 10, "spec": { "width":width/2, "height":50, "layer": [{ "mark": {"type": "bar", "color": "#eee"}, "encoding": { "x": { "field": "ranges[2]", "type": "quantitative", "scale": {"nice": false}, "title": null } } },{ "mark": {"type": "bar", "color": "#ddd"}, "encoding": { "x": {"field": "ranges[1]", "type": "quantitative"} } },{ "mark": {"type": "bar", "color": "#ccc"}, "encoding": { "x": {"field": "ranges[0]", "type": "quantitative"} } },{ "mark": {"type": "bar", "color": "lightsteelblue", "size": 12}, "encoding": { "x": {"field": "measures[1]", "type": "quantitative"} } },{ "mark": {"type": "bar", "color": "steelblue", "size": 10}, "encoding": { "x": {"field": "measures[0]", "type": "quantitative"} } },{ "mark": {"type": "tick", "color": "black"}, "encoding": { "x": {"field": "markers[0]", "type": "quantitative"} } }] }, "resolve": {"scale": {"x": "independent"}}, "config": { "tick": {"thickness": 2} } }) } 3b:T323a,function buildDashboard(region, showWarning) { const record = _.last(dataGroupedByLocation.find(d => d.location == region).items); const date = record.date; const dateLastWeek = record.weekAgoRecord.date; const dateLast2Week = record.weekAgoRecord.weekAgoRecord.date; const dateLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.date; const newCasesToday = record.new_cases; const newDeathsToday = record.new_deaths; const casesToday = record.total_cases; const deathsToday = record.total_deaths; const casesLastWeek = record.weekAgoRecord.total_cases; const deathsLastWeek = record.weekAgoRecord.total_deaths; const casesLast2Week = record.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast2Week = record.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; debugger; const casesTimesLastWeek = casesToday / casesLastWeek; moment.locale('es'); const _width = 1000; const padding = 20; const dy_fecha = 100; const dy_block1 = 140; const dy_block2 = 460; const dx_block = _width/2-padding; const dy_offset1 = 30; const dy_offset2 = 90; const dy_offset3 = 90; const dy_historyline = 60; const dx_cell1 = 280 const dx_cell1_fallecidos = 260 const dx_diff = 290 const dx_diff_fallecidos = 270 const dx_diff2 = 30 //return record return html`

${region == "Chile" ? "CHILE" : `Región ${region.toUpperCase()}`}

Advertencias:

Estas son cifras oficiales de casos conocidos y confirmados. Se estima que el total de contagiados es una cifra mucho mayor (algunos científicos la estiman en 5 veces lo reportado) y existe un número importante de fallecidos que aún no ha sido reportado.
El 17 de Junio para todo Chile se reportaron ${d3.format(",")(adjustCasesV1.value)} casos confirmados adicionales que no necesariamente corresponden a esa semana. ${selectedRegion !== "Chile" ? `De esos ${d3.format(",")(adjustCasesV1.value)}, ${d3.format(",")(ajusteCasos20200617PorRegion[selectedRegion])} corresponden a ${selectedRegion}` : ``}. El incremento de casos reportados entre el ${moment(dateLastWeek).format("ddd D MMM")} y ${moment(date).format("ddd D MMM")} sería ${d3.format(",")(casesToday - casesLastWeek)} en vez de ${d3.format(",")(casesToday - casesLastWeek +ajusteCasos20200617PorRegion[selectedRegion])}.
Para representar de mejor manera el crecimiento de casos confirmados, se han agregado ${d3.format(",")(ajusteCasos20200617PorRegion[selectedRegion])} casos confirmados a los casos totales en fechas previas al 17 de Junio.

` }3c:Tc69,function buildGrowthWave(region) { //let data =dataGroupedByCountry; debugger; const data = _.chain(dataGroupedByLocation) .sortBy(d => d.location) .value() function maxCases(items) { const max = d3.max(items, d => +d.total_deaths); return max; } const topLocations = _.chain(dataGroupedByLocation) .filter(d => { return ( d.location == region) }) .value() const layout = new WaveLayout(); //return layout.nodes(topLocations[0].items) //const nodes = layout.nodes(data.items).filter(d => d[0].value > 10); const out = html`
${_.chain(topLocations).sortBy(d => d.location).map(d => { debugger; //const nodes = layout.nodes(d.items).filter(d => d[0].value > 10); const nodes = layout.nodes(d.items); const el = html`

${region}

${d3.format(".3s")(d.rateLastWeek.deltaDeaths)}

${moment(d.rateLastWeek.now).format("DD MMM")}: ${d3.format(",")(d.rateLastWeek.valueNow)}

${moment(d.rateLastWeek.lastWeek).format("DD MMM")}: ${d3.format(",")(d.rateLastWeek.valueLastWeek)}

${d.location}

` const visEl = d3.select(el).select("div.vis svg"); const visObj = new FactorWaveVis(visEl.node()); const recentNodes = _.slice(nodes, nodes.length-72, nodes.length) //const recentNodes = _.slice(nodes, nodes.length-36, nodes.length) visObj.kpi("deltaDeaths").axisFontSize(20).render(recentNodes) //visObj.render(nodes) return el }).value()} ` return out } 3d:Tc75,function buildGrowthWaveCases(region) { //let data =dataGroupedByCountry; debugger; const data = _.chain(dataGroupedByLocation) .sortBy(d => d.location) .value() function maxCases(items) { const max = d3.max(items, d => +d.total_deaths); return max; } const topLocations = _.chain(dataGroupedByLocation) .filter(d => { return ( d.location == region) }) .value() const layout = new WaveLayout(); //return layout.nodes(topLocations[0].items) //const nodes = layout.nodes(data.items).filter(d => d[0].value > 10); const out = html`
${_.chain(topLocations).sortBy(d => d.location).map(d => { debugger; //const nodes = layout.nodes(d.items).filter(d => d[0].value > 10); const nodes = layout.nodes(d.items); const el = html`

${region}

${d3.format(".3s")(d.rateLastWeek.deltaCases)}

${moment(d.rateLastWeek.now).format("DD MMM")}: ${d3.format(",")(d.rateLastWeek.valueCasesNow)}

${moment(d.rateLastWeek.lastWeek).format("DD MMM")}: ${d3.format(",")(d.rateLastWeek.valueCasesLastWeek)}

${d.location}

` const visEl = d3.select(el).select("div.vis svg"); const visObj = new FactorWaveVis(visEl.node()); const recentNodes = _.slice(nodes, nodes.length-72, nodes.length) //const recentNodes = _.slice(nodes, nodes.length-36, nodes.length) visObj.kpi("deltaCases").axisFontSize(20).render(recentNodes) //visObj.render(nodes) return el }).value()} ` return out } 3e:T5d3,function buildGowthMonitor(region) { const windowSize = 36; function growthRate(items) { const windowOffset = 1; const lastItems = _.takeRight(items,windowSize); const reg = d3Regression.regressionLinear() .x(d => +d.i) .y(d => +d.new_cases) const trend = reg(lastItems.map((d,i) => { d.i = i; return d; })) return { recentDays: lastItems, trend: trend } } function maxCases(items) { const max = d3.max(items, d => +d.total_cases); return max; } const topLocations = _.chain(dataGroupedByLocation) .filter(d => { return (d.location == region) }) //.groupBy(d => growthRate(d.items).trend.a > 0 ? 1 : -1) .value() debugger; const out = html`
${_.chain(topLocations).sortBy(d => d.location).map(d => { const newCasesTrend = growthRate(d.items); const el = html`

${region}

` const visEl = d3.select(el).select("div.vis svg"); const visObj = new NewWeeklyDeathsChartVis(visEl.node()); visObj.metric("total_deaths").render(newCasesTrend) return el }).value()}
` return out }3f:T2417,{ const record = _.last(dataGroupedByLocation.find(d => d.location == "Chile").items); const date = record.date; const dateLastWeek = record.weekAgoRecord.date; const dateLast2Week = record.weekAgoRecord.weekAgoRecord.date; const newCasesToday = record.new_cases; const newDeathsToday = record.new_deaths; const casesToday = record.total_cases; const deathsToday = record.total_deaths; const casesLastWeek = record.weekAgoRecord.total_cases; const deathsLastWeek = record.weekAgoRecord.total_deaths; const casesLast2Week = record.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast2Week = record.weekAgoRecord.weekAgoRecord.total_deaths; const casesLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; const deathsLast3Week = record.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; const casesTimesLastWeek = casesToday / casesLastWeek; moment.locale('es'); const _width = 1000; const padding = 20; const dy_fecha = 100; const dy_block1 = 140; const dy_block2 = 260; const dx_block = _width/2-padding; const dy_offset1 = 30; const dy_offset2 = 90; const dy_offset3 = 90; const dy_historyline = 60; const dx_cell1 = 160 const dx_diff = 290 const dx_diff_fallecidos = 250 const dx_diff2 = 30 // Temporalmente deshabilitado return html``; //return record return html`

Advertencias:

Estas son cifras oficiales de casos conocidos y confirmados. Se estima que el total de contagiados es una cifra mucho mayor (algunos científicos la estiman en 5 veces lo reportado) y existe un número importante de fallecidos que aún no ha sido reportado.

El 17 de Junio se reportaron ${d3.format(",")(adjustCasesV1.value)} casos confirmados adicionales que no necesariamente corresponden a esa semana. El incremento de casos reportados entre el ${moment(dateLastWeek).format("ddd D MMM")} y ${moment(date).format("ddd D MMM")} sería ${d3.format(",")(casesToday - casesLastWeek -adjustCasesV1.value)} en vez de ${d3.format(",")(casesToday - casesLastWeek)}.

` }40:Tbfe,{ return html``; // Deshabilitada //let data =dataGroupedByCountry; debugger; const data = _.chain(dataGroupedByLocation) .sortBy(d => d.location) .value() function maxCases(items) { const max = d3.max(items, d => +d.total_deaths); return max; } const topLocations = _.chain(dataGroupedByLocation) .filter(d => { return (d.location == "Chile") }) .value() const layout = new WaveLayout(); //return layout.nodes(topLocations[0].items) //const nodes = layout.nodes(data.items).filter(d => d[0].value > 10); const out = html`
${_.chain(topLocations).sortBy(d => d.location).map(d => { debugger; //const nodes = layout.nodes(d.items).filter(d => d[0].value > 10); const nodes = layout.nodes(d.items); const el = html`

${d.location}

${d3.format(".2s")(d.rateLastWeek.deltaCases)}

${moment(d.rateLastWeek.now).format("DD MMM")}: ${d3.format(".4s")(d.rateLastWeek.valueCasesNow)}

${moment(d.rateLastWeek.lastWeek).format("DD MMM")}: ${d3.format(".4s")(d.rateLastWeek.valueCasesLastWeek)}

` const visEl = d3.select(el).select("div.vis svg"); const visObj = new FactorWaveVis(visEl.node()); const recentNodes = _.slice(nodes, nodes.length-36, nodes.length) visObj.kpi("deltaCases").render(recentNodes) //visObj.render(nodes) return el }).value()} ` return out } 41:Tc04,{ return html``// Deshabilitada //let data =dataGroupedByCountry; debugger; const data = _.chain(dataGroupedByLocation) .sortBy(d => d.location) .value() function maxCases(items) { const max = d3.max(items, d => +d.total_deaths); return max; } const topLocations = _.chain(dataGroupedByLocation) .filter(d => { return (d.location == "Chile" ) }) .value() const layout = new WaveLayout(); //return layout.nodes(topLocations[0].items) //const nodes = layout.nodes(data.items).filter(d => d[0].value > 10); const out = html`
${_.chain(topLocations).sortBy(d => d.location).map(d => { debugger; //const nodes = layout.nodes(d.items).filter(d => d[0].value > 10); const nodes = layout.nodes(d.items); const el = html`

${d.location.split("v")[0]}

${d3.format(".3s")(d.rateLastWeek.deltaDeaths)}

${moment(d.rateLastWeek.now).format("DD MMM")}: ${d3.format(",")(d.rateLastWeek.valueNow)}

${moment(d.rateLastWeek.lastWeek).format("DD MMM")}: ${d3.format(",")(d.rateLastWeek.valueLastWeek)}

` const visEl = d3.select(el).select("div.vis svg"); const visObj = new FactorWaveVis(visEl.node()); const recentNodes = _.slice(nodes, nodes.length-36, nodes.length) visObj.kpi("deltaDeaths").render(recentNodes) //visObj.render(nodes) return el }).value()} ` return out } 42:T51d,html` ` 43:T487,html``44:T6c4,// Mapping needed to identify associated flag reference when needed countryNameMApping = ({ "Chile v2": "Chile", "Chile v3": "Chile", "Chile v4": "Chile", "Vatican": "vatican-city", "Holy See": "vatican-city", "Brunei Darussalam": "brunei", "Democratic Republic of Congo": "congo-democratic-republic-of-the", "Cote d'Ivoire":"cote-d-ivoire", "United States": "united-states-of-america", "US": "united-states-of-america", "Korea, South": "south-korea", "Congo (Brazzaville)": "congo-republic-of-the", "Congo (Kinshasa)": "congo-democratic-republic-of-the", "Czechia":"czech-republic", "Eswatini":"swaziland", "North Macedonia":"macedonia", "Taiwan*": "taiwan", "China-Anhui" : "China", "China-Beijing" : "China", "China-Chongqing" : "China", "China-Confirmed" : "China", "China-Deaths" : "China", "China-Fujian" : "China", "China-Gansu" : "China", "China-Guangdong" : "China", "China-Guangxi" : "China", "China-Guizhou" : "China", "China-Hainan" : "China", "China-Hebei" : "China", "China-Heilongjiang" : "China", "China-Henan" : "China", "China-Hong Kong" : "China", "China-Hubei" : "China", "China-Hubei " : "China", "China-Hunan" : "China", "China-Inner Mongolia" : "China", "China-Jiangsu" : "China", "China-Jiangxi" : "China", "China-Jilin" : "China", "China-Liaoning" : "China", "China-Macau" : "China", "China-Ningxia" : "China", "China-Qinghai" : "China", "China-Shaanxi" : "China", "China-Shandong" : "China", "China-Shanghai" : "China", "China-Shanxi" : "China", "China-Sichuan" : "China", "China-Taiwan" : "China", "China-Tianjin" : "China", "China-Unspecified*" : "China", "China-Xinjiang" : "China", "China-Xizang" : "China", "China-Yunnan" : "China", "China-Zhejiang" : "China", })45:T50d,standardCountryNames = ({ "Bolivia": "Bolivia (Plurinational State of)", "Bonaire Sint Eustatius and Saba": "Bonaire, Sint Eustatius and Saba", "British Virgin Islands": "Virgin Islands (British)", "Brunei": "Brunei Darussalam", "Cape Verde": "Cabo Verde", "Cote d'Ivoire": "Côte d'Ivoire", "Curacao": "Curaçao", "Czech Republic": "Czechia", "Democratic Republic of Congo": "Congo, Democratic Republic of the", "Faeroe Islands": "Faroe Islands", "Falkland Islands": "Falkland Islands (Malvinas)", "Iran": "Iran (Islamic Republic of)", "Laos": "Lao People's Democratic Republic", "Macedonia": "North Macedonia", "Moldova": "Moldova, Republic of", "Palestine": "Palestine, State of", "Russia": "Russian Federation", "Saint Barthlemy": "Saint Barthélemy", "South Korea": "Korea, Republic of", "Swaziland": "Eswatini", "Syria": "Syrian Arab Republic", "Taiwan": "Taiwan, Province of China", "Tanzania": "Tanzania, United Republic of", "Timor": "Timor-Leste", "United Kingdom": "United Kingdom of Great Britain and Northern Ireland", "United States": "United States of America", "United States Virgin Islands": "Virgin Islands (U.S.)", "Vatican": "Holy See", "Venezuela": "Venezuela (Bolivarian Republic of)", "Vietnam": "Viet Nam", })46:T1014,class NewCasesVis { constructor(el) { debugger; this._data = []; this._margin = {left: 60, right:100, top:20, bottom: 40}; this._totalWidth = 300; this._totalHeight = 100; this.svgContainer = d3.select(el); this.startup(); } startup() { debugger; this._width = this._totalWidth - this._margin.left - this._margin.right; this._height = this._totalHeight - this._margin.top - this._margin.bottom; this.xScale = d3.scaleLinear() .range([0,this._width]) this.yScale = d3.scaleLinear() .range([this._height,0]) this.colorScale = d3.scaleOrdinal(d3.schemeCategory10) this.yAxis = d3.axisLeft(this.yScale) .ticks(3) .tickFormat(d3.format(",")); this.xAxis = d3.axisBottom(this.xScale) .ticks(6); this.svgContainer .attr("width",this._width+this._margin.left+this._margin.right) .attr("height",this._height+this._margin.top+this._margin.bottom) this.svgContainer.selectAll("g").remove(); this.container = this.svgContainer.selectAll("g.container") .data([1]) .join("g") .attr("class", "container") .attr("transform", `translate(${this._margin.left},${this._margin.top})`) this.container .append("g") .attr("class", "y axis") this.container .append("g") .attr("transform", `translate(0,${this._height})`) .attr("class", "x axis") // text label for the x axis this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", 10) .attr("y", this._margin.bottom-12) .attr("class", "title x") .attr("dy", 5) .attr("transform",`translate(${this._width},${this._height})`) .style("text-anchor", "end") .text(`Recent ${windowSize} days`); // text label for the y axis this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", 10) .attr("class", "title y") .attr("transform",`rotate(-90)`) .attr("y", 0 - this._margin.left) .attr("x",0 - (this._height / 2)) .attr("dy", "1em") .style("text-anchor", "middle") .text("New cases"); this.line = d3.line() .x((d, i) => this.xScale(i+1)) // set the x values for the line generator .y((d) => this.yScale(+d.new_cases)) // set the y values for the line generator .curve(d3.curveMonotoneX) // apply smoothing to the line this.lineTrend = d3.line() .x((d, i) => this.xScale(+d[0]+1)) // set the x values for the line generator .y((d) => this.yScale(+d[1])) // set the y values for the line generator .curve(d3.curveMonotoneX) // apply smoothing to the line } render(trendInfo) { debugger; const data = trendInfo.recentDays const self = this; debugger; const maxCases = _.max(data.map(d=> +d.new_cases)); const minCases = _.min(data.map(d=> +d.new_cases)); // Update axis this.xScale.domain([1,data.length]) this.yScale.domain([minCases,maxCases]) this.container.select("g.y.axis") .call(this.yAxis) this.container.select("g.x.axis") .transition() .duration(duration) .call(this.xAxis) const points = this.container.selectAll("g.point") .data(data) .join("g") .attr("class", "point") .attr("transform",(d,i) => `translate(${this.xScale(i+1)}, ${this.yScale(d.new_cases)})`) const circles = points.selectAll("circle") .data(d => [d]) .join("circle") .attr("fill", "blue") .attr("r",2) const path = this.container.selectAll("path") .data([data]) .join("path") .attr("d",d => { debugger; const out = this.line(d) return out; }) const pathTrend = this.container.selectAll("path.trend") .data([trendInfo.trend]) .join("path") .attr("class", "trend") .attr("d",d => { debugger; const out = this.lineTrend(d) return out; }) } }47:T1b35,class NewWeeklyDeathsChartVis { constructor(el) { debugger; this._data = []; this._metric = "total_deaths"; this._margin = {left: 80, right:20, top:20, bottom: 40}; this.metricLabel = { "total_deaths" : "Fallecidos", "total_cases" : "Casos confirmados" } this._totalWidth = width; this._totalHeight = width*0.5; this.svgContainer = d3.select(el); this.startup(); } startup() { debugger; this._width = this._totalWidth - this._margin.left - this._margin.right; this._height = this._totalHeight - this._margin.top - this._margin.bottom; this.xScale = d3.scaleBand() .range([0,this._width]) this.yScale = d3.scaleLinear() .range([this._height,0]) this.colorScale = d3.scaleOrdinal(d3.schemeCategory10) this.yAxis = d3.axisLeft(this.yScale) //.ticks(6) .tickFormat(d3.format(",")); this.xAxis = d3.axisBottom(this.xScale) .tickFormat(d => moment(d).format("DD/M")); //.ticks(2); this.svgContainer .attr("width",this._width+this._margin.left+this._margin.right) .attr("height",this._height+this._margin.top+this._margin.bottom) this.svgContainer.selectAll("g").remove(); this.container = this.svgContainer.selectAll("g.container") .data([1]) .join("g") .attr("class", "container") .attr("transform", `translate(${this._margin.left},${this._margin.top})`) this.container .append("g") .attr("class", "y axis") this.container .append("g") .attr("transform", `translate(0,${this._height})`) .attr("class", "x axis") // text label for the x axis this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", 14) .attr("y", this._margin.bottom-12) .attr("class", "title x") .attr("dy", 5) .attr("transform",`translate(${this._width},${this._height})`) .style("text-anchor", "end") .text(`Fecha`); // text label for the y axis this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", width/65) .attr("class", "title y line1") .attr("transform",`rotate(-90)`) .attr("y", 0 - this._margin.left) .attr("x",0 - (this._height / 2)) .attr("dy", "1em") .style("text-anchor", "middle") .text(`Aumento de nuevos ${this.metricLabel[this._metric].toLowerCase()} semanales`); // text label for the y axis this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", width/65) .attr("class", "title y line2") .attr("transform",`rotate(-90)`) .attr("y", 0 - this._margin.left) .attr("x",0 - (this._height / 2)) .attr("dy", "2em") .style("text-anchor", "middle") .text("vs 7 días atrás"); this.line = d3.line() .x((d, i) => this.xScale(i+1)) // set the x values for the line generator .y((d) => this.yScale(+d.new_cases)) // set the y values for the line generator .curve(d3.curveMonotoneX) // apply smoothing to the line this.lineTrend = d3.line() .x((d, i) => this.xScale(+d[0]+1)) // set the x values for the line generator .y((d) => this.yScale(+d[1])) // set the y values for the line generator .curve(d3.curveMonotoneX) // apply smoothing to the line } render(trendInfo) { debugger; const self = this; this.container.select("text.title.y.line1") .text(`Aumento de nuevos ${this.metricLabel[this._metric].toLowerCase()} semanales`); function getMetric(d) { /* const metric = "new_deaths"; if (d[metric] && d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord) { return (+d[metric] - d.weekAgoRecord[metric]) } else { return 0 } */ const metric =self._metric; if (d[metric] && d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord) { return ((+d[metric] - d.weekAgoRecord[metric]) - (+d.weekAgoRecord[metric] - d.weekAgoRecord.weekAgoRecord[metric])) } else { return 0 } } const data = trendInfo.recentDays debugger; const maxCases = _.max(data.map(d=> +getMetric(d))); const minCases = _.min(data.map(d=> +getMetric(d))) < 0 ? _.min(data.map(d=> +getMetric(d))) :0 ; const maxDate = _.max(data.map(d=> d.date)); const minDate = _.min(data.map(d=> d.date)); const days = moment(maxDate).diff(moment(minDate), 'days') const dateRange = _.range(0,days+1).map(d => { let date = moment(minDate); date.add(d,"days") let newDate = date.format("YYYY-MM-DD"); return newDate }); // Update axis this.xScale.domain(dateRange) //this.xScale.domain(data.map((d,i) => d.date)) this.yScale.domain([minCases,maxCases]) const tickElements = _.chain(_.range(0,7)).map(d => moment(maxDate).subtract(d,"weeks").format("YYYY-MM-DD")).reverse().value(); this.xAxis .tickValues(this.xScale.domain().filter(function(d,i){ return tickElements.includes(d)})) //.tickValues(this.xScale.domain().filter(function(d,i){ return !(i%6)})) ; //.tickValues(this.xScale.domain().filter(function(d,i){ return !(i%10)}).map(d => moment(d).format("DD"))); data.forEach((d,i) => { d.x = this.xScale(d.date) d.y = this.yScale(+getMetric(d)) d.stage = +getMetric(d) < 0 ? "reducing" : i > 2 && +getMetric(d) < +getMetric(data[i-2]) ? "decreasing" : "increasing" }) this.container.select("g.y.axis") .call(this.yAxis) this.container.select("g.x.axis") .transition() .duration(duration) .call(this.xAxis) const points = this.container.selectAll("g.point") .data(data) .join("g") .attr("class", "point") .attr("transform",(d,i) => `translate(${d.x},0)`) const bars = points.selectAll("rect.changeBars") .data(d => [d]) .join("rect") .attr("class",d => `${d.stage} changeBars`) .attr("x", 0) .attr("y", d => +getMetric(d) > 0 ? d.y : this.yScale(0)) .attr("width", this.xScale.bandwidth()) .attr("height", d => Math.abs(this.yScale(0) - d.y)) const path = this.container.selectAll("path") .data([data]) .join("path") .attr("d",d => { debugger; const out = this.line(d) return out; }) const pathTrend = this.container.selectAll("path.trend") .data([trendInfo.trend]) .join("path") .attr("class", "trend") .attr("d",d => { debugger; const out = this.lineTrend(d) return out; }) } metric(_) { this._metric = _; return this; } }48:T2279,class FactorWaveVis { constructor(el) { debugger; this._data = []; this._margin = {left: 70, right:30, top:50, bottom: 40}; this._kpi = "deltaDeaths" //this._kpi = "growthPercent" //this._kpi = "factor" this.secondaryKpis = { "deltaCases" : "growthVariance7Days", //"growthPercentCases", "deltaDeaths" : "growthPercentDeaths", } this.metricLabel = { "growthPercentCases" : "Nuevos casos confirmados", "factorCases" : "Nuevos casos confirmados", "deltaCases" : "Nuevos casos confirmados", "growthPercentDeaths" : "Nuevos fallecidos reportados", "factorDeaths" : "Nuevos fallecidos reportados", "deltaDeaths" : "Nuevos fallecidos reportados", } this.kpiClass = { "growthPercentCases" : "cases", "factorCases" : "cases", "deltaCases" : "cases", "growthPercentDeaths" : "deaths", "factorDeaths" : "deaths", "deltaDeaths" : "deaths", } this.kpiFormat = { "growthPercentCases" : d3.format(".0%"), "factorCases" : d3.format(".1f"), "deltaCases" : d3.format(".3s"), "growthVariance7Days" : d3.format(".0%"), "growthPercentDeaths" : d3.format(".0%"), "factorDeaths" : d3.format(".1f"), "deltaDeaths" : d3.format(".3s"), } this._totalWidth = width; this._totalHeight = width*0.6; this.bubbleRadius = this._totalWidth/40; this.bubbleFontsize = this._totalWidth/65; this.svgContainer = d3.select(el); this.startup(); } startup() { debugger; this._width = this._totalWidth - this._margin.left - this._margin.right; this._height = this._totalHeight - this._margin.top - this._margin.bottom; this.xScale = d3.scaleTime() .range([0,this._width]) this.yScale = d3.scaleLinear() .range([this._height,0]) this.colorScale = d3.scaleOrdinal(d3.schemeCategory10) this.yAxis = d3.axisLeft(this.yScale) //.ticks(3) .tickFormat(d3.format(",")); this.xAxis = d3.axisBottom(this.xScale) //.tickFormat(d3.timeFormat("%d/%b")) .tickFormat(d => moment(d).format("D/M")); ; //.ticks(9); this.svgContainer .attr("width",this._width+this._margin.left+this._margin.right) .attr("height",this._height+this._margin.top+this._margin.bottom) this.svgContainer.selectAll("g").remove(); this.container = this.svgContainer.selectAll("g.container") .data([1]) .join("g") .attr("class", "container") .attr("transform", `translate(${this._margin.left},${this._margin.top})`) this.container .append("g") .attr("class", "y axis") this.container .append("g") .attr("transform", `translate(0,${this._height})`) .attr("class", "x axis") // text label for the x axis this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", this._axisFontSize || 14) .attr("y", this._margin.bottom-12) .attr("class", "title x") .attr("dy", 5) .attr("transform",`translate(${this._width},${this._height})`) .style("text-anchor", "end") .text(`Fecha`); // text label for the y axis this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", this._axisFontSize || width/65) .attr("class", "title y") .attr("transform",`rotate(-90)`) .attr("y", 0 - this._margin.left) .attr("x",0 - (this._height / 2)) .attr("dy", "1em") .style("text-anchor", "middle") .text(`${this.metricLabel[this._kpi]} en la semana`); this.line = d3.line() .x((d, i) => this.xScale(i+1)) // set the x values for the line generator .y((d) => this.yScale(+d.new_cases)) // set the y values for the line generator .curve(d3.curveMonotoneX) // apply smoothing to the line this.lineTrend = d3.line() .x((d, i) => this.xScale(+d[0]+1)) // set the x values for the line generator .y((d) => this.yScale(+d[1])) // set the y values for the line generator .curve(d3.curveMonotoneX) // apply smoothing to the line } render(nodes) { debugger; this.secondaryKpi = this.secondaryKpis[this._kpi]; const self = this; const flatted = _.flatten(nodes) const maxValue = d3.max(flatted.map(d => d[this._kpi])); const maxDay = d3.max(flatted.map(d => moment(d.date))); const minDay = d3.min(flatted.map(d => moment(d.date))); const displayDates = _.chain(_.range(0,14)).map(d => moment(maxDay).subtract(d,"weeks").format("YYYY-MM-DD")).reverse().value(); _.reverse(nodes).forEach((d,i) => { const skip = nodes.length < 11 ? 1 : nodes.length < 20 ? 2 : nodes.length < 30 ? 3 : nodes.length < 40 ? 4 : nodes.length < 40 ? 4 : 8 //d[7].noSkip = (i % skip == 0) || d[7][this._kpi] == maxValue || true d[7].noSkip = displayDates.includes(moment(d[7].date).format("YYYY-MM-DD")); }) _.chain(nodes) .each((d) => { //d[7].noSkip = false; }) .value() this.container .classed(this.kpiClass[this._kpi], true) this.xScale.domain([minDay,maxDay]) this.yScale.domain([0,maxValue*1.1]) const tickElements = _.chain(_.range(0,7)).map(d => moment(maxDay).subtract(d,"weeks")).reverse().value(); this.xAxis .tickValues(tickElements) // text label for the y axis this.container.selectAll("text.title.y") .text(`${this.metricLabel[this._kpi]} en la semana`); this.container.select("g.y.axis") .call(this.yAxis) this.container.select("g.x.axis") .transition() .duration(duration) .call(this.xAxis) /* const referenceLines = this.container.selectAll("line.reference") .data(_.range(2,maxValue+1)) .join("line") .attr("class", "reference") .attr("x1", 0) .attr("x2", this._width) .attr("y1", this.yScale) .attr("y2", this.yScale) */ const lineGenerator = d3.line() .x((d,i) => this.xScale(d.date)) .y((d,i) => this.yScale(d[this._kpi])) const envelopeGenerator = d3.line() .x((d,i) => { debugger; return this.xScale(d.date) }) .y((d,i) => this.yScale(d[this._kpi])) const lines = this.container.selectAll("g.line") .data(nodes) .join("g") .attr("class","line") const line = lines.selectAll("path") .data(d => [d]) .join("path") .attr("d", lineGenerator) const miniMark = lines.selectAll("circle.mini") .data(d => d) .join("circle") .attr("class", "mini") .attr("cx", d => this.xScale(d.date)) .attr("cy", d => this.yScale(d[this._kpi])) .attr("r", 1.5) const envelope = this.container.selectAll("path.envelope") .data([nodes.map(d => d[7])]) .join("path") .attr("class", "envelope") .attr("d", d => { debugger; return envelopeGenerator(d) }) const marks = this.container.selectAll("circle.mark") .data(nodes.map(d => d[7])) .join("circle") .attr("class", "mark") .attr("cx", d => this.xScale(d.date)) .attr("cy", d => this.yScale(d[this._kpi])) .attr("r", 2) const markLabels = this.container.selectAll("g.markLabel") .data(nodes.map(d => d[7])) .join("g") .attr("class", "markLabel") .attr("display", d => d.noSkip ? true : "none") .attr("transform", (d,i) => `translate(${this.xScale(d.date)},${this.yScale(d[this._kpi])})`) markLabels.selectAll("circle") .data(d => [d]) .join("circle") .attr("display", d => d.noSkip ? true : "none") .attr("cx", 0) .attr("cy", -this.bubbleRadius*0.75) .attr("r", this.bubbleRadius) markLabels.selectAll("text.value") .data(d => [d]) .join("text") .attr("class", "value") .attr("text-anchor", "middle") .attr("font-size", this.bubbleFontsize) .attr("dx", 0) .attr("dy", -this.bubbleFontsize*0.9) .text(d => `+${self.kpiFormat[this._kpi]( d[this._kpi])}` ) markLabels.selectAll("text.secondary") .data(d => [d]) .join("text") .attr("class", "secondary") .attr("text-anchor", "middle") .attr("font-size", this.bubbleFontsize) .attr("fill", "grey") .attr("dx", 0) .attr("dy", -2*this.bubbleRadius-this.bubbleFontsize/2) .text(d => `${self.kpiFormat[this.secondaryKpi]( d[this.secondaryKpi])}` ) } kpi(_) { this._kpi = _; return this; } axisFontSize(_) { this._axisFontSize = _; this.startup(); return this; } }49:T5f3,class WaveLayout { constructor() { this._metricDeaths = "total_deaths"; this._metricCases = "total_cases"; } nodes(data) { const length = data.length; const nodes = []; _.each(_.range(0,data.length-7), i => { const base = data[i]; const dailyData = [] _.each(_.range(0,8), offset => { const comp = data[i+offset]; const factorDeaths = comp[this._metricDeaths]/base[this._metricDeaths]; const deltaDeaths = comp[this._metricDeaths]-base[this._metricDeaths]; const factorCases = comp[this._metricCases]/base[this._metricCases]; const deltaCases = comp[this._metricCases]-base[this._metricCases]; dailyData.push({ date:moment(comp.date), valueCases: +comp[this._metricCases], factorCases:factorCases, deltaCases: deltaCases, growthPercentCases:factorCases-1, valueDeaths: +comp[this._metricDeaths], factorDeaths:factorDeaths, deltaDeaths: deltaDeaths, growthPercentDeaths:factorDeaths-1, relativeDay:+i+offset }) }) nodes.push(dailyData) }) nodes.forEach((d,i) => { if (i >= 7) { let currentRecord = d[7]; let lastWeekRecord = nodes[i-7][7]; d[7]["growthVariance7Days"] = currentRecord["deltaCases"]/lastWeekRecord["deltaCases"] - 1; } }) return nodes; } metric(_) { this._metric = _; } }4a:T82e,{ const multirowData = [] const data = dataGroupedByLocation.filter(d => d.location == "Chile")[0].items.forEach(d => { const baseRecord = { date: d.date, location: d.location, } const thisWeekRecord = _.clone(baseRecord); thisWeekRecord.relativeTime = "thisWeek"; thisWeekRecord.total_cases = d.total_cases; thisWeekRecord.activos14 = d.total_cases - (d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.total_cases); thisWeekRecord.activos21 = d.total_cases - (d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases); thisWeekRecord.total_deaths = d.total_deaths; multirowData.push(thisWeekRecord); const weekAgo1 = _.clone(baseRecord); weekAgo1.relativeTime = "1weekAgo"; weekAgo1.total_cases = d.weekAgoRecord && d.weekAgoRecord.total_cases; weekAgo1.total_deaths = d.weekAgoRecord && d.weekAgoRecord.total_deaths; multirowData.push(weekAgo1); const weekAgo2 = _.clone(baseRecord); weekAgo2.relativeTime = "2weekAgo"; weekAgo2.total_cases = d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.total_cases; weekAgo2.total_deaths = d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.total_deaths; multirowData.push(weekAgo2); const weekAgo3 = _.clone(baseRecord); weekAgo3.relativeTime = "3weekAgo"; weekAgo3.total_cases = d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_cases; weekAgo3.total_deaths = d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.weekAgoRecord.total_deaths; multirowData.push(weekAgo3); }) return DOM.download(new Blob([d3.tsvFormat(multirowData), {type: "text/tsv"}]), "data_chile.tsv") }4b:T555,dataGroupedByLocation = { // Filter records only before the selected max date const _data = data.filter(d => { return moment(d.date) <= moment(referenceDate) }) //const reg = d3Regression.regressionExp() //const reg = d3Regression.regressionLog() const reg = d3Regression.regressionQuad() //const reg = d3Regression.regressionPoly() //.order(2) .x(d => +d.elapsedBaseLine) //.y(d => +d[metric]) /* .filter(d => { return true; // We limit China records up to specified date //return d.location !== "China" || (d.location == "China" && moment(d.date) < moment(chinaMaxDate)) }) */ const newData = _.chain(_data) .groupBy(d => d.location) .map((items, location) => { addWeeklyFactor(items); if (location == "Chilev2") { debugger; } addRecovered(items); const recordsBaseLine = calculateElapsedDays(items).filter(e => e.elapsedBaseLine > 0); //const trendData = reg(recordsBaseLine); return ({ location: location, items: calculateElapsedDays(items).filter(e => e.elapsed > 0), doublingInfo : calculateDoublingInfo(items), rateLastWeek : deathRateLastWeek(items), trendData: { //predict: trendData.predict } }) }) .filter(d => d.items.length) .sortBy(d => d.location) .value() return newData }4c:T4f3,function calculateElapsedDays(items) { /* // Record format date: "2020-02-25" location: "Afghanistan" new_cases: "" new_deaths: "" total_cases: "1" total_deaths: "" */ let prevTotalCases = 0; let startDate = null; let dateBaseline = null; return _.chain(items) .sortBy(d => d.date) .each((d,i) => { startDate = i == 0 ? 0 : startDate; const totalCases = +d[metric]; // Identify date when cases where first reported if ((totalCases > 0 && prevTotalCases == 0)) { startDate = moment(d.date); } // Identify date when cases were above baseline (e.g. > 100) if ((totalCases >= +baseLine && !dateBaseline)) { dateBaseline = moment(d.date); } // Calculate days since cases where above baseLine if (dateBaseline) { d.elapsedBaseLine = moment(d.date).diff(dateBaseline, 'days') } else { d.elapsedBaseLine = null } // Calculate dates since cases where first reported if (startDate) { d.elapsed = moment(d.date).diff(startDate, 'days'); } else { d.elapsed = 0; } prevTotalCases = totalCases; }) .filter(d => limitDays ? d.elapsedBaseLine <= windowSize : true) .value() }4d:T552,function calculateDoublingInfo(items) { const metric_deaths = "total_deaths"; /* // Record format date: "2020-02-25" location: "Afghanistan" new_cases: "" new_deaths: "" total_cases: "1" total_deaths: "" */ const maxDate = _.last(items).date; const maxValue = + _.last(items)[metric]; const maxValue_deaths = + _.last(items)[metric_deaths]; let halfDate = null; let halfDays = null; let halfValue = null; let halfDate_deaths = null; let halfDays_deaths = null; let halfValue_deaths = null; _.chain(items) .sortBy(d => d.date) .reverse() .each((d,i) => { if ((+d[metric] < maxValue/2) && !halfDate) { halfDate = d.date; halfDays = i; halfValue = +d[metric]; } if ((+d[metric_deaths] < maxValue_deaths/2) && !halfDate_deaths) { halfDate_deaths = d.date; halfDays_deaths = i; halfValue_deaths = +d[metric_deaths]; } }) .value() return { total_cases: { doublingDays: halfDays, currentDate: maxDate, halfDate: halfDate, currentValue: maxValue, halfValue: halfValue, }, total_deaths: { doublingDays: halfDays_deaths, currentDate: maxDate, halfDate: halfDate_deaths, currentValue: maxValue_deaths, halfValue: halfValue_deaths } } }4e:T49d,function addWeeklyFactor(items) { const metric_deaths = "total_deaths"; const dateDict = {} items.forEach(d => dateDict[d.date] = d) items.forEach((d,i) => { const lastWeekDate = moment(d.date).subtract(7, "days").format("YYYY-MM-DD"); d.weekAgoRecord = dateDict[lastWeekDate]; d.factor7Days_deaths = d.weekAgoRecord && d.weekAgoRecord.total_deaths > 0 && d.total_deaths / d.weekAgoRecord.total_deaths; }) items.forEach((d,i) => { const casesToday = d.total_cases; const deathsToday = d.total_deaths; const cases2WeeksAgo = d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.total_cases; const deaths1WeekAgo = d.weekAgoRecord && d.weekAgoRecord.total_deaths; const deaths2WeeksAgo = d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord && d.weekAgoRecord.weekAgoRecord.total_deaths; d.newCases14Days = cases2WeeksAgo && casesToday && casesToday - cases2WeeksAgo || null d.newDeaths7Days = deaths1WeekAgo && deathsToday && deathsToday - deaths1WeekAgo || 0 d.newDeaths14Days = deaths2WeeksAgo && deathsToday && deathsToday - deaths2WeeksAgo || null }) }4f:T4e7,function deathRateLastWeek(items) { const metric_deaths = "total_deaths"; const metric_cases = "total_cases"; /* // Record format date: "2020-02-25" location: "Afghanistan" new_cases: "" new_deaths: "" total_cases: "1" total_deaths: "" */ const maxDate = _.last(items).date; const maxValue = + _.last(items)[metric]; const maxValue_deaths = + _.last(items)[metric_deaths]; const currentRecord = _.last(items); const dateLastWeek = moment(maxDate).subtract(7, "days"); const recordLastWeek = _.find(items,d => d.date == dateLastWeek.format("YYYY-MM-DD")); const rate = recordLastWeek && maxValue_deaths / recordLastWeek.total_deaths return { now : maxDate, lastWeek: dateLastWeek.format("YYYY-MM-DD"), valueNow: maxValue_deaths, valueLastWeek: recordLastWeek && +recordLastWeek.total_deaths, rate: rate, deltaCases: currentRecord[metric_cases]-recordLastWeek[metric_cases], deltaDeaths: currentRecord[metric_deaths]-recordLastWeek[metric_deaths], valueCasesNow: currentRecord[metric_cases], valueCasesLastWeek: recordLastWeek[metric_cases], valueDeathsNow: currentRecord[metric_deaths], valueDeathsLastWeek: recordLastWeek[metric_deaths], } }50:T841,dataChile_MinCienciaAdjustado = { debugger; const data = await d3.csv("https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto5/TotalesNacionales_std.csv"); const attributeMap = { "Casos nuevos con sintomas" : "new_cases_symptomatic", "Casos totales" : "total_cases", "Casos recuperados" : "recovered_cases", "Fallecidos" : "total_deaths", "Casos activos" : "total_active", "Casos nuevos sin sintomas" : "new_cases_asymptomatic", "Casos nuevos totales" : "new_cases", } const dictFecha = {}; let maxDEIS = 0; const out = _.chain(data) .groupBy(d => d["Fecha"]) .map((items, key) => { const record = {}; record["date"] = moment(key, "YYYY-MM-DD").format("YYYY-MM-DD"); record["location"] = "Chile"; items.forEach(d => { const attribute = attributeMap[d["Dato"]] || null; record[attribute] = d["Total"] }) dictFecha[record["date"]] = record; if ((record["date"] >= adjustDeathsV1.from) && (record["date"] <= adjustDeathsV1.to) ) { record["total_deaths"] = +record["total_deaths"]+adjustDeathsV1.value; } if ((record["date"] >= adjustCasesV1.from) && (record["date"] <= adjustCasesV1.to) ) { record["total_cases"] = +record["total_cases"]+adjustCasesV1.value; } const totalDeathsDEIS = dictFallecidosDEISCHILE20200717[record["date"]] && dictFallecidosDEISCHILE20200717[record["date"]]["total_deaths"] || null; maxDEIS = totalDeathsDEIS > maxDEIS ? totalDeathsDEIS : maxDEIS; // AJUSTAR TOTAL DE FALLECIDOS SEGUN DATOS REPORTADOS POR DEIS record["total_deaths"] = totalDeathsDEIS || record["total_deaths"]; record["total_deaths"] = maxDEIS > record["total_deaths"] ? maxDEIS : record["total_deaths"]; const yesterday = dictFecha[moment(key, "YYYY-MM-DD").subtract(1,"days").format("YYYY-MM-DD")] const totalDeathsYesterday = yesterday && yesterday["total_deaths"] || 0 record["new_deaths"] = +record["total_deaths"] - totalDeathsYesterday; return record; }) .value() return out }51:Td4a,dataChile_MinCienciaRegionesAdjustado = { debugger; const data = dataRegionesMinCiencia; const attributeMap = { "Casos totales" : "total_cases", "Casos acumulados" : "total_cases", "Fallecidos" : "total_deaths", "Fallecidos totales" : "total_deaths", "Casos activos" : "total_active", "Casos nuevos totales" : "new_cases", "Casos nuevos con sintomas" : "new_cases_symptomatic", "Casos nuevos sin sintomas" : "new_cases_asymptomatic", "Casos nuevos sin notificar" : "new_cases_unnotified" } const regionRecords = []; const out0 = _.chain(data) .groupBy(d => d["Region"]) .each((items,location) => { const dictFecha = {}; let maxDEIS = 0; debugger; const out = _.chain(items) .groupBy(d => d["Fecha"]) .map((items, key) => { if (key == "2020-06-15" && location == "Total") { debugger; } const record = {}; record["date"] = moment(key, "YYYY-MM-DD").format("YYYY-MM-DD"); record["location"] = items[0]["Region"] == "Total" ? "Chile" : items[0]["Region"]; items.forEach(d => { const attribute = attributeMap[d["Categoria"]] || null; record[attribute] = +d["Total"] }) dictFecha[record["date"]] = record; if ((record["date"] >= adjustDeathsV1.from) && (record["date"] <= adjustDeathsV1.to) ) { record["total_deaths"] = +record["total_deaths"]+ adjusteFallecidos20200607PorRegion[record["location"]]; } if ((record["date"] >= adjustCasesV1.from) && (record["date"] <= adjustCasesV1.to) ) { record["total_cases"] = +record["total_cases"]+ajusteCasos20200617PorRegion[record["location"]]; } /* dataNuevosFallecidosChile let totalDeathsDEIS = record["location"] == "Chile" ? dataFallecidosChile && dataFallecidosChile[record["date"]] : dictFallecidosDEIS20200717[record["location"]] && dictFallecidosDEIS20200717[record["location"]][record["date"]] && dictFallecidosDEIS20200717[record["location"]][record["date"]]["total_deaths"] || null; /* let totalDeathsDEIS = record["location"] == "Chile" ? dictFallecidosDEISCHILE20200717[record["date"]] && dictFallecidosDEISCHILE20200717[record["date"]]["total_deaths"] || null : dictFallecidosDEIS20200717[record["location"]] && dictFallecidosDEIS20200717[record["location"]][record["date"]] && dictFallecidosDEIS20200717[record["location"]][record["date"]]["total_deaths"] || null; */ //maxDEIS = totalDeathsDEIS > maxDEIS ? totalDeathsDEIS : maxDEIS; // AJUSTAR TOTAL DE FALLECIDOS SEGUN DATOS REPORTADOS POR DEIS //record["total_deaths"] = totalDeathsDEIS || record["total_deaths"]; //record["total_deaths"] = maxDEIS > record["total_deaths"] ? maxDEIS : record["total_deaths"]; const yesterday = dictFecha[moment(key, "YYYY-MM-DD").subtract(1,"days").format("YYYY-MM-DD")] const totalDeathsYesterday = yesterday && yesterday["total_deaths"] || 0 record["new_deaths"] = +record["total_deaths"] - totalDeathsYesterday; return record; }) .each(d => { regionRecords.push(d); }) .value() }) .value() return regionRecords; }52:T4d0,dataChile_MinCiencia = { const data = await d3.csv("https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto5/TotalesNacionales_std.csv"); const attributeMap = { "Casos nuevos con sintomas" : "new_cases_symptomatic", "Casos totales" : "total_cases", "Casos recuperados" : "recovered_cases", "Fallecidos" : "total_deaths", "Casos activos" : "total_active", "Casos nuevos sin sintomas" : "new_cases_asymptomatic", "Casos nuevos totales" : "new_cases", } const dictFecha = {} const out = _.chain(data) .groupBy(d => d["Fecha"]) .map((items, key) => { const record = {}; record["date"] = moment(key, "YYYY-MM-DD").format("YYYY-MM-DD"); record["location"] = "Chile"; items.forEach(d => { const attribute = attributeMap[d["Dato"]] || null; record[attribute] = d["Total"] }) dictFecha[record["date"]] = record; const yesterday = dictFecha[moment(key, "YYYY-MM-DD").subtract(1,"days").format("YYYY-MM-DD")] const totalDeathsYesterday = yesterday && yesterday["total_deaths"] || 0 record["new_deaths"] = +record["total_deaths"] - totalDeathsYesterday; return record; }) .value() return out }53:T42f,ajusteCasos20200617PorRegion = { const acumulado20200616 = {}; const acumulado20200617 = {}; const nuevos20200617 = {}; const ajuste20200617 = {}; _.chain(dataRegionesMinCiencia) .filter(d => d.Fecha=="2020-06-16" && (d.Categoria=="Casos acumulados" || d.Categoria== "Casos totales")) .each(d => { acumulado20200616[d.Region] = +d.Total }) .value(); _.chain(dataRegionesMinCiencia) .filter(d => d.Fecha=="2020-06-17" && (d.Categoria=="Casos acumulados" || d.Categoria== "Casos totales")) .each(d => { acumulado20200617[d.Region] = +d.Total }) .value(); _.chain(dataRegionesMinCiencia) .filter(d => d.Fecha=="2020-06-17" && d.Categoria=="Casos nuevos totales") .each(d => { nuevos20200617[d.Region] = +d.Total }) .value(); _.chain(acumulado20200617) .map((d,location) => ({ location: location == "Total" ? "Chile" : location, value: d - acumulado20200616[location] - nuevos20200617[location] })) .each(d => ajuste20200617[d.location] = d.value) .value() return ajuste20200617; }54:T49e,function standarizeJHURawChina(data) { const exclude = [ "Confirmed", "Deaths", "Unspecified*", ] const dates = _.chain(data[0]).map((d,key) => key).filter(d => moment(d).isValid()).value() const groupedData = _.chain(data) .filter(d => d["Country/Region"] == "China" && d["Province/States"]) .filter(d => !_.find(exclude, e => e == d["Province/States"]) || !d["Province/States"]) .groupBy(d => d["Province/States"] ? `${d["Country/Region"]}-${d["Province/States"]}` : d["Country/Region"]) .map((items, key) => { const accumValues = {}; dates.forEach(d => accumValues[d] = 0); items.forEach(item => { dates.forEach(d => accumValues[d] = accumValues[d] + +item[d]) }) return ({ location: key, items: accumValues }) }) .value() const newData = groupedData.map(d => { return _.map(d.items, (value, key) => ({ location: d.location, date : moment(key,"M-D-YY").format("YYYY-MM-DD"), total_cases : value, new_cases: value-d.items[moment(key,"M/D/YY").subtract(1, "day").format("M/D/YY")] || 0 })) }) return _.flatten(newData) }55:T4ac,function checkbox(config = {}) { let { value: formValue, title, description, submit, options } = Array.isArray(config) ? {options: config} : config; options = options.map( o => (typeof o === "string" ? { value: o, label: o } : o) ); const form = input({ type: "checkbox", title, description, submit, getValue: input => { if (input.length) return Array.prototype.filter .call(input, i => i.checked) .map(i => i.value); return input.checked ? input.value : false; }, form: html`
${options.map(({ value, label, disabled }) => { const input = html` -1 ? "checked" : "" } style="vertical-align: baseline;" />`; input.setAttribute("value", value); disabled ? input.setAttribute("disabled", true) : null; const tag = html` ${input} ${label} `; return tag; })}
` }); form.output.remove(); return form; }56:[{"id":"909e6f0a110fdd7371fa733ce769d1af3a2568841b498bb045e5c456bb4e6fd664de282adf98740697b91c96a074d7a89436a593d712b3150b868453ee3d6f37","href":"https://static.observableusercontent.com/files/909e6f0a110fdd7371fa733ce769d1af3a2568841b498bb045e5c456bb4e6fd664de282adf98740697b91c96a074d7a89436a593d712b3150b868453ee3d6f37","name":"PuertoRico.png","type":"image/png","lastModified":1592045893405.571,"size":25466},{"id":"de3947264870c0981ac8876ac9d5215b805aad0eb5aa354ed151a19703a9e11a8b6e3e00ebd80c82ddc2e734f9f1c3484ec67913a4a195b8e60e2d0c515960c2","href":"https://static.observableusercontent.com/files/de3947264870c0981ac8876ac9d5215b805aad0eb5aa354ed151a19703a9e11a8b6e3e00ebd80c82ddc2e734f9f1c3484ec67913a4a195b8e60e2d0c515960c2","name":"wave1.png","type":"image/png","lastModified":1592319834138.047,"size":315342},{"id":"5b475bdeaca4c8fd1b3bf44d1827a0aaa78f7c2a141fd1f036b09e4922816eb9427b90d496630d7b9569afd33918214e96a64ceb7b677e9b2bab624d320a7d54","href":"https://static.observableusercontent.com/files/5b475bdeaca4c8fd1b3bf44d1827a0aaa78f7c2a141fd1f036b09e4922816eb9427b90d496630d7b9569afd33918214e96a64ceb7b677e9b2bab624d320a7d54","name":"wave2.png","type":"image/png","lastModified":1592319824289.71,"size":98393}] 2f:{"title":"Reporte diario de COVID19 en Chile","cells":[{"id":0,"value":"md`# Reporte diario de COVID19 en Chile `","pinned":false,"hidden":false,"mode":"ojs"},{"id":4951,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":5360,"value":"html`
Cifras ajustadas para anular la distorsión de 553 nuevos fallecidos y 31.422 casos confirmados que corregían omisiones de fechas previas
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5974,"value":"{\n debugger;\n return buildDashboard(selectedRegion,true)\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":6057,"value":"html`
Fallecidos reportados la última semana por region
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":6145,"value":"{ \nreturn html`\nLas regiones con mayor número de fallecidos reportados en la última semana son:
\n${_.take(fallecidosUltimaSemanaPorRegion,6).map(d => `\n${d.location} (${d.fallecidosSemanales})
\n`)}\n`\n}\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":6026,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":5949,"value":"html`
Paneles de indicadores por región (ordenados según cantidad de fallecidos en última semana)
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":6061,"value":"{\n const out = html`\n ${fallecidosUltimaSemanaPorRegion.map(d => buildDashboard(d.location))}\n `;\n \n return out;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5343,"value":"html`
Evolución de nuevos casos confirmados en la semana (\"Ola de crecimiento semanal\")
\nTotal casos confirmados en la fecha correspondiente - Total casos cponfirmados el mismo día de la semana previa\n\n
Se agregan ${d3.format(\",\")(ajusteCasos20200617PorRegion[selectedRegion])} casos confirmados (reportados el 17 de Junio como un ajuste a omisiones en fechas previas) a las cifras totales de falleciodos en fechas previas al 17 de Junio para no distorsionar el crecimiento semanal
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5363,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":6430,"value":"buildGrowthWaveCases(\"Chile\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":6439,"value":"{\n const out = html`\n ${fallecidosUltimaSemanaPorRegion.map(d => buildGrowthWaveCases(d.location))}\n `;\n \n return out;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5041,"value":"html`
Evolución de nuevos fallecidos reportados en la semana (Ola de crecimiento semanal)
\nTotal fallecidos reportados a la fecha correspondiente - Total fallecidos reportados al mismo día de la semana previa`\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":5043,"value":"html`
El 7 de Junio se reportaron 533 fallecidos adicionales en todo Chile como un ajuste por omisiones en fechas previas. Para evitar distorsiones se agrega esta cifra (y la correspondiente a cada región) en las fechas previas al 7 de Junio para no distorsionar el cálculo del crecimiento semanal
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5379,"value":"$34","pinned":false,"hidden":false,"mode":"ojs"},{"id":5999,"value":"buildGrowthWave(selectedRegion)\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":6085,"value":"html`
Ola de crecimiento semanal por región (ordenado según cantidad de fallecidos en última semana)
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":6078,"value":"{\n const out = html`\n ${fallecidosUltimaSemanaPorRegion.map(d => buildGrowthWave(d.location))}\n `;\n \n return out;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5192,"value":"html`\n
Pistas para entender los gráficos de \"Ola de crecimiento semanal\"
\nExplicación de indicadores utilizados en la \"Ola de Crecimiento Semanal\"\n\n
Las líneas ascendentes muestran el aumento progresivo de cifras en cada día de la semana precedente
\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":3797,"value":"$35","pinned":false,"hidden":false,"mode":"ojs"},{"id":5388,"value":"$36","pinned":false,"hidden":false,"mode":"ojs"},{"id":5143,"value":"html``;\n//html`
Aumento de nuevo casos confirmados semanalmente comparado con el mismo día de la semana previa
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":3754,"value":"$37","pinned":false,"hidden":false,"mode":"ojs"},{"id":5418,"value":"$38","pinned":false,"hidden":false,"mode":"ojs"},{"id":5140,"value":"html`
\"Aumento del Aumento\" (aumento de nuevos fallecidos reportados semanalmente) comparado con el mismo día de la semana previa
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":6006,"value":"buildGowthMonitor(selectedRegion)","pinned":false,"hidden":false,"mode":"ojs"},{"id":6101,"value":"html`
\"Aumento del Aumento\" de fallecidos por regiones (ordenado según número de fallecidos la última semana)
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":6008,"value":"{\n const out = html`\n ${fallecidosUltimaSemanaPorRegion.map(d => buildGowthMonitor(d.location))}\n `;\n \n return out;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5796,"value":"html`
Cantidad de exámenes PCR realizados en los últimos 7 días
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5768,"value":"$39","pinned":false,"hidden":false,"mode":"ojs"},{"id":6489,"value":"{\n \n const out = html`\n \n \n \n \n \n\n \n ${_.chain(dataGroupedByLocation)\n .map((d,region) => `\n \n \n \n \n\n \n `).value()}\n\n
\n\n\n `\n return out\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":6487,"value":"sustainedReductionDeaths(\"Metropolitana\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":6413,"value":"encuestaSochimi_UCI_RM = ({\n \"2020-07-09\": 90,\n \"2020-07-08\": 92,\n \"2020-07-07\": 92,\n \"2020-07-06\": 93,\n \"2020-07-05\": 94,\n \"2020-07-04\": 94,\n \"2020-07-03\": 94,\n \"2020-07-02\": 94,\n \"2020-07-01\": 94,\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":6422,"value":"factorRe = 0.79","pinned":true,"hidden":false,"mode":"ojs"},{"id":6335,"value":"$3a","pinned":false,"hidden":false,"mode":"ojs"},{"id":6532,"value":"{\n const items = dataGroupedByLocation.find(d => d.location == \"Valparaíso\").items;\n \n const data = _.chain(items).map(d => ({\n today : d.date,\n growth : d.weekAgoRecord ? d.total_deaths - d.weekAgoRecord.total_deaths : null,\n growthLastWeek : d.weekAgoRecord && d.weekAgoRecord.weekAgoRecord? d.weekAgoRecord.total_deaths - d.weekAgoRecord.weekAgoRecord.total_deaths : null,\n })).reverse().take(10).value()\n return html`\n
Región Días reduciendo fallecidos Días reduciendo casos
${d.location} ${sustainedReductionDeaths(d.location).byWeek} ${sustainedReductionCases(d.location).byWeek}
\n\n\n\n\n\n\n${data.map(d => `\n\n\n\n`)}\n
Fecha Nuevos fallecidos últimos 7 días Nuevos fallecidos últimos 7 días
Mismo día de la semana previa Aumento
${d.today} ${d.growth} ${d.growthLastWeek} ${d.growth-d.growthLastWeek}
`\n \n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5094,"value":"html`
\n
\n
Autor
\n
Ernesto Laval (@elaval)
\n
\n\n
Fuente de datos
\n
Ministerio de Salud de Chile (Reporte Diario) con datos disponibles en repositorio del Ministerio de Ciencia
\n
\n
Totales Nacionales Diarios: https://github.com/MinCiencia/Datos-COVID19/tree/master/output/producto5
\n
Casos totales por región: https://github.com/MinCiencia/Datos-COVID19/tree/master/output/producto3
\n
Exámenes PCR por región: https://github.com/MinCiencia/Datos-COVID19/tree/master/output/producto7
\n
\n\n
\n\n\n
`\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":593,"value":"html``","pinned":false,"hidden":false,"mode":"ojs"},{"id":6073,"value":"md`## Constructores de paneles`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5935,"value":"$3b","pinned":false,"hidden":false,"mode":"ojs"},{"id":5980,"value":"$3c","pinned":false,"hidden":false,"mode":"ojs"},{"id":6529,"value":"dataGroupedByLocation","pinned":true,"hidden":false,"mode":"ojs"},{"id":6428,"value":"$3d","pinned":false,"hidden":false,"mode":"ojs"},{"id":6448,"value":"sustainedReductionCases(\"Metropolitana\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":6477,"value":"sustainedReductionDeaths(\"Metropolitana\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":6447,"value":"function sustainedReductionCases(region) {\n debugger;\n const regionRecord = _.chain(dataGroupedByLocation)\n .find(d => {\n return (d.location == region)\n })\n .value()\n \n const items = _.chain(regionRecord.items).sortBy(d => d.date).reverse().value();\n \n const weeklyGrowth = items.map(d => d.weekAgoRecord && (d.total_cases - d.weekAgoRecord.total_cases) || null)\n const dailyChange = weeklyGrowth.map((d,i) => d - weeklyGrowth[i+1])\n const weeklyChange = weeklyGrowth.map((d,i) => d - weeklyGrowth[i+7])\n \n let sustainedDailyDecrease = 0;\n let sustainedWeeklyDecrease = 0;\n \n let i = 0;\n while (dailyChange[i] < 0 && i < dailyChange.length) {\n sustainedDailyDecrease++;\n i++;\n }\n \n i = 0;\n while (weeklyChange[i] < 0 && i < weeklyChange.length) {\n sustainedWeeklyDecrease++;\n i++;\n }\n \n return {byDay:sustainedDailyDecrease, byWeek: sustainedWeeklyDecrease}\n}\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":6474,"value":"function sustainedReductionDeaths(region) {\n const regionRecord = _.chain(dataGroupedByLocation)\n .find(d => {\n return (d.location == region)\n })\n .value()\n \n const items = _.chain(regionRecord.items).sortBy(d => d.date).reverse().value();\n \n const weeklyGrowth = items.map(d => d.weekAgoRecord && (d.total_deaths - d.weekAgoRecord.total_deaths) || null)\n const dailyChange = weeklyGrowth.map((d,i) => d - weeklyGrowth[i+1])\n const weeklyChange = weeklyGrowth.map((d,i) => d - weeklyGrowth[i+7])\n \n let sustainedDailyDecrease = 0;\n let sustainedWeeklyDecrease = 0;\n \n let i = 0;\n while (dailyChange[i] < 0 && i < dailyChange.length) {\n sustainedDailyDecrease++;\n i++;\n }\n \n i = 0;\n while (weeklyChange[i] < 0 && i < weeklyChange.length) {\n sustainedWeeklyDecrease++;\n i++;\n }\n \n return {byDay:sustainedDailyDecrease, byWeek: sustainedWeeklyDecrease}\n}\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":4627,"value":"$3e","pinned":false,"hidden":false,"mode":"ojs"},{"id":5609,"value":"md`## Visualizaciones deshabilitadas`","pinned":false,"hidden":false,"mode":"ojs"},{"id":4360,"value":"$3f","pinned":false,"hidden":false,"mode":"ojs"},{"id":3451,"value":"$40","pinned":false,"hidden":false,"mode":"ojs"},{"id":4578,"value":"$41","pinned":false,"hidden":false,"mode":"ojs"},{"id":1402,"value":"md`## CSS Styles`","pinned":false,"hidden":false,"mode":"ojs"},{"id":3746,"value":"html`\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":4588,"value":"$42","pinned":false,"hidden":false,"mode":"ojs"},{"id":4362,"value":"html`\n\n\n `","pinned":false,"hidden":false,"mode":"ojs"},{"id":85,"value":"style_bootstrap","pinned":false,"hidden":false,"mode":"ojs"},{"id":218,"value":"$43","pinned":false,"hidden":false,"mode":"ojs"},{"id":4483,"value":"style_fontawesome","pinned":true,"hidden":false,"mode":"ojs"},{"id":1407,"value":"md`## Config Params`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5577,"value":"viewof selectedRegion = select({\n title: \"Región\",\n description: \"Seleccione región a analizar en primer panel en vez de Chile.\",\n options: [\n \"Arica y Parinacota\",\n \"Tarapacá\",\n \"Antofagasta\",\n \"Atacama\",\n \"Coquimbo\",\n \"Valparaíso\",\n \"Metropolitana\",\n \"O’Higgins\",\n \"Maule\",\n \"Ñuble\",\n \"Biobío\",\n \"Araucanía\",\n \"Los Ríos\",\n \"Los Lagos\",\n \"Aysén\",\n \"Magallanes\",\n \"Chile\"\n ],\n value: \"Chile\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":886,"value":"baseLine = 1000;\n/*viewof baseLine = {\n let options= [\n { label: `50 ${metricLabel}`, value: 50 },\n { label: `100 ${metricLabel}`, value: 100 },\n { label: `200 ${metricLabel}`, value: 200 },\n { label: `500 ${metricLabel}`, value: 500 },\n { label: `1000 ${metricLabel}`, value: 1000 },\n { label: `5000 ${metricLabel}`, value: 5000 },\n ];\n \n if (metric == \"total_deaths\" || metric == \"newDeaths7Days\") {\n options = _.concat([{ label: `1 ${metricLabel}`, value: 1 }, { label: `10 ${metricLabel}`, value: 10 }, { label: `20 ${metricLabel}`, value: 20 }], options);\n }\n\n \n \n return radio({\n title: `Base line (number of ${metricLabel})`,\n description: `Select the number of ${metricLabel} to use as a common reference (days will be counted since the country reached that number of ${metricLabel})`,\n options: options,\n value: metric == \"total_deaths\" ? 50 : 1000\n })\n}\n*/","pinned":false,"hidden":false,"mode":"ojs"},{"id":2458,"value":"windowSize = 7;\n//viewof windowSize = number({placeholder: \"7\", title: `Time window (number of days after reaching ${baseLine} cases`, submit: false, value:7})","pinned":false,"hidden":false,"mode":"ojs"},{"id":3137,"value":"showGrowthFactor = false;\n/*\n viewof showGrowthFactor = checkbox({\n options: [{\n value: \"toggle\", \n label: `Show growth factor on highlighted countries (only for total deaths)` ,\n disabled: metric == \"total_cases\"\n }],\n value: false,\n })\n */\n ","pinned":false,"hidden":false,"mode":"ojs"},{"id":2421,"value":"showActive = false;\n/*\n viewof showActive = checkbox({\n options: [{\n value: \"toggle\", \n label: `Show area representing active cases on highlighted countries (only for confirmed cases metric)` ,\n disabled: metric !== \"total_cases\"\n }],\n value: false,\n })\n \n */","pinned":false,"hidden":false,"mode":"ojs"},{"id":2437,"value":"recoveredWindow = 14;\n/*\nviewof recoveredWindow = number({\n placeholder: \"14\", \n title: \"Days after confirmed cases are considered recovered (for estimation of active cases)\", \n submit: false, \n value:14,\n //disabled: false && metric !== \"total_cases\"\n\n})\n*/","pinned":false,"hidden":false,"mode":"ojs"},{"id":2568,"value":"doubling_metric = 'total_deaths';\n/*\nviewof doubling_metric = radio({\n title: 'Metric for growth indicator information',\n description: 'Select the target metric',\n options: [\n { label: 'Total cases', value: 'total_cases' },\n { label: 'Total deaths', value: 'total_deaths' },\n ],\n value: 'total_deaths'\n})\n*/","pinned":false,"hidden":false,"mode":"ojs"},{"id":2996,"value":" viewof newRefDate = date({\n title: \"New ref date\", \n min: \"2019-12-31\",\n max: dataDate,\n value: \"2020-04-10\",\n description: \"Change the date if you want charts to be relative to a previous date\"\n})\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":3049,"value":"changeReferenceDate = {\n //mutable referenceDate = \"2020-04-14\"\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":929,"value":" viewof chinaMaxDate = date({\n title: \"Max date for China\", \n min: \"2019-12-31\",\n max: dataDate,\n value: \"2020-04-15\",\n description: \"Select the date for which you want to see the chart\"\n})\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":3912,"value":"metricDescription = ({\n \"total_cases\" : \"confirmed cases\",\n \"total_deaths\": \"deaths\",\n \"newCases14Days\": \"new cases in 14 days\",\n \"newDeaths7Days\": \"new deaths in 7 days\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1497,"value":"dataSource = \"ecdc\"; \n//dataSource = \"jhu\"; \n\n/*\nviewof dataSource = radio({\n title: 'Data Source',\n description: 'Select the institution that provides the data',\n options: [\n { label: 'European Centre for Disease Prevention and Control (ECDC)', value: 'ecdc' },\n { label: 'World Health Organization (WHO)', value: 'who' },\n { label: 'Johns Hopkins University', value: 'jhu' },\n { label: 'JHU - China Regions', value: 'jhu-china' },\n ],\n value: 'ecdc'\n})\n*/","pinned":false,"hidden":false,"mode":"ojs"},{"id":4432,"value":"//mutable referenceDate = \"2020-06-13\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":1440,"value":"mutable referenceDate = dataDate\n//mutable referenceDate = \"2020-06-18\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":647,"value":"$44","pinned":false,"hidden":false,"mode":"ojs"},{"id":2757,"value":"$45","pinned":false,"hidden":false,"mode":"ojs"},{"id":2787,"value":"subRegions = _.chain(countryStandardInfo)\n .map(d => d[\"sub-region\"])\n .uniq()\n .sortBy()\n .filter()\n .value()","pinned":false,"hidden":false,"mode":"ojs"},{"id":2818,"value":"regions = _.chain(countryStandardInfo)\n .map(d => d[\"region\"])\n .uniq()\n .sortBy()\n .filter()\n .value()","pinned":false,"hidden":false,"mode":"ojs"},{"id":2780,"value":"function isInSubRegion(countryName, subRegion) {\n const name = standardCountryNames[countryName] || countryName;\n return countryStandardInfo[name] && (countryStandardInfo[name][\"sub-region\"] == subRegion)\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":2823,"value":"function isInRegion(countryName, region) {\n const name = standardCountryNames[countryName] || countryName;\n return countryStandardInfo[name] && (countryStandardInfo[name][\"region\"] == region)\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":140,"value":"height = width < 700 ? width *1.2 : 700","pinned":false,"hidden":false,"mode":"ojs"},{"id":3019,"value":"metricLabel = metric == \"total_deaths\" ? \"deaths\" : \"confirmed cases\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":3619,"value":"","pinned":true,"hidden":false,"mode":"ojs"},{"id":1411,"value":"md`## Animation aux`","pinned":false,"hidden":false,"mode":"ojs"},{"id":732,"value":"// Max number of days back for animation\nmax = 30;","pinned":false,"hidden":false,"mode":"ojs"},{"id":840,"value":"// Base trasition duration during animations \nduration = 500","pinned":false,"hidden":false,"mode":"ojs"},{"id":2580,"value":"doublingMinValue = ({\n \"total_cases\": 300,\n \"total_deaths\" : 10,\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1393,"value":"md`## Vis code`","pinned":false,"hidden":false,"mode":"ojs"},{"id":1836,"value":"$46","pinned":false,"hidden":false,"mode":"ojs"},{"id":3671,"value":"$47","pinned":false,"hidden":false,"mode":"ojs"},{"id":3332,"value":"$48","pinned":false,"hidden":false,"mode":"ojs"},{"id":3340,"value":"$49","pinned":false,"hidden":false,"mode":"ojs"},{"id":1384,"value":"md`## Data`","pinned":false,"hidden":false,"mode":"ojs"},{"id":6564,"value":"{\n const today = dataDate;\n \n const out = _.chain(examenesSemanales)\n .map((dates,region) => ({dates:dates, region:region}))\n .map((d) => ({\n regions: d.region,\n date: today,\n casos: casosSemanales[d.region][today],\n tests: d.dates[today],\n positividad: casosSemanales[d.region][today]/d.dates[today]\n }))\n .value()\n return out\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":6572,"value":"{\n const data = _.chain(examenesSemanales).map((dates, region) => \n _.map(dates, (tests, date) => ({\n date:date,\n location: region,\n tests: tests,\n casos: casosSemanales[region][date],\n positividad: casosSemanales[region][date]/ tests\n }))\n\n)\n.flatten()\n.value()\n \n return DOM.download(new Blob([d3.tsvFormat(data)], {type: \"text/tsv\"}), \"data_tests_casos.tsv\", \"Descargar datos tests, casos confirmados & positividad\")\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":6034,"value":"regionesConMasFallecidos = _.take(fallecidosUltimaSemanaPorRegion,4).map(d => d.location)","pinned":false,"hidden":false,"mode":"ojs"},{"id":6028,"value":"fallecidosUltimaSemanaPorRegion = {\n \n function getWeeklyDeaths(d) {\n const record = _.last(_.sortBy(d.items, e => e.total_deaths));\n const deathsToday = record.total_deaths;\n const deathsLastWeek = record.weekAgoRecord.total_deaths;\n return deathsToday-deathsLastWeek;\n } \n \n return _.chain(dataGroupedByLocation)\n .filter(d => d.location !== \"Chile\")\n .sortBy(d => getWeeklyDeaths(d))\n .reverse()\n .map(d => ({\n location: d.location,\n fallecidosSemanales: getWeeklyDeaths(d)\n }))\n .value()\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":265,"value":"dataSinceBaseLine = _.chain(dataGroupedByLocation)\n.map(d => {\n return {\n country : d.location,\n items: d.items.filter(e => +e[metric] >= +baseLine),\n trendData: d.trendData\n }\n})\n.filter(d => d.items.length)\n.filter(d => d.country != \"Cases on an international conveyance Japan\" \n && d.country != \"International\"\n && d.country != \"World\"\n && d.country != \"Cruise Ship\"\n )\n.value()","pinned":false,"hidden":false,"mode":"ojs"},{"id":3625,"value":"$4a","pinned":false,"hidden":false,"mode":"ojs"},{"id":4987,"value":"metric = \"total_cases\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":5871,"value":"{\n const out = [];\n dataGroupedByLocation.forEach(d => {\n _.chain(d.items)\n .filter(e => e.date >= \"2020-03-16\")\n .each(e => out.push({\n location: e.location,\n date: e.date,\n tests_7Days: e.test_pcr_7Days,\n cases_7Days: e.total_cases - e.weekAgoRecord.total_cases\n }))\n .value()\n \n })\n return DOM.download(new Blob([d3.tsvFormat(out)], {type: \"text/tsv\"}), \"data_covid_tests_regiones.tsv\", \"Descargar datos tests & casos confirmados\")\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1211,"value":"$4b","pinned":false,"hidden":false,"mode":"ojs"},{"id":4999,"value":"limitDays = false","pinned":false,"hidden":false,"mode":"ojs"},{"id":1218,"value":"$4c","pinned":false,"hidden":false,"mode":"ojs"},{"id":2216,"value":"$4d","pinned":false,"hidden":false,"mode":"ojs"},{"id":3103,"value":"$4e","pinned":false,"hidden":false,"mode":"ojs"},{"id":2927,"value":"$4f","pinned":false,"hidden":false,"mode":"ojs"},{"id":2381,"value":"addRecovered = function(items) {\n _.chain(items)\n .sortBy(d => d.date)\n //.reverse()\n .each((d,i) => {\n if (i > recoveredWindow) {\n d.total_recovered = items[i-recoveredWindow].total_cases\n } else {\n d.total_recovered = 0\n }\n })\n .value()\n \n return items;\n\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1246,"value":"dataDate = _.maxBy(data, d => d.date).date","pinned":false,"hidden":false,"mode":"ojs"},{"id":3623,"value":"DOM.download(new Blob([d3.tsvFormat(data), {type: \"text/tsv\"}]), \"data_covid_world.tsv\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":6630,"value":"mapaRegionesDEIS = ({\"De Aisén del Gral. C. Ibáñez del Campo\":\"Asyén\",\n\"De Antofagasta\":\"Antofagasta\",\n\"De Arica y Parinacota\":\"Arica y Parinacota\",\n\"De Atacama\":\"Arica\",\n\"De Coquimbo\":\"Coquimbo\",\n\"De La Araucanía\":\"Araucanía\",\n\"De Los Lagos\":\"Los Lagos\",\n\"De Los Ríos\":\"Los Ríos\",\n\"De Magallanes y de La Antártica Chilena\":\"Magallanes\",\n\"De Ñuble\":\"Ñuble\",\n\"De Tarapacá\":\"Tarapacá\",\n\"De Valparaíso\":\"Valparaíso\",\n\"Del Bíobío\":\"Biobío\",\n\"Del Libertador B. O'Higgins\":\"O'Higgins\",\n\"Del Maule\":\"Maule\",\n\"Metropolitana de Santiago\":\"Metropolitana\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":6625,"value":"dictFallecidosDEIS20200717 = {\n const data = await d3.tsv(\"https://raw.githubusercontent.com/elaval/covid_chile_regional/master/data_deis_20200717.tsv\");\n \n const dict = {}\n \n data.forEach(d => {\n const location= mapaRegionesDEIS[d.location] || d.location;\n const date = moment(d.date,\"M/DD/YYYY\").format(\"YYYY-MM-DD\");\n \n dict[location] = dict[location] || {};\n dict[location][date] = dict[location][date] || {\n new_deaths: null,\n total_deaths: null\n }\n \n \n \n if (d.measure == \"total\") {\n dict[location][date][\"total_deaths\"] = +d.value;\n } else if (d.measure == \"new_deaths\") {\n dict[location][date][\"new_deaths\"] = +d.value;\n }\n \n new_deaths: +d.new_deaths\n \n })\n \n return dict\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":6666,"value":"dictFallecidosDEISCHILE20200717 = {\n const data = await d3.tsv(\"https://raw.githubusercontent.com/elaval/covid_chile_regional/master/deis_chile_20200717.tsv\");\n \n const dict = {}\n \n data.forEach(d => {\n const date = moment(d.date,\"M/DD/YYYY\").format(\"YYYY-MM-DD\");\n \n dict[date] = dict[date] || {\n new_deaths: null,\n total_deaths: null\n }\n \n \n \n if (d.measure == \"total_deaths\") {\n dict[date][\"total_deaths\"] = +d.value;\n } else if (d.measure == \"new_deaths\") {\n dict[date][\"new_deaths\"] = +d.value;\n }\n \n new_deaths: +d.new_deaths\n \n })\n \n return dict\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5762,"value":"examenesSemanales = {\n const dictRegiones={};\n const regiones = _.keys(dataPCRPorFechaRegiones);\n \n const fechas = _.chain(dataPCRPorFechaRegiones[regiones[0]]).keys().sortBy().value()\n \n const dict = {};\n debugger;\n \n regiones.forEach(region => {\n fechas.forEach(fecha => {\n _.chain(_.range(0,7))\n .each(d => {\n const rollingDate = moment(fecha).subtract(d,\"days\").format(\"YYYY-MM-DD\");\n \n dict[region] = dict[region] || {};\n dict[region][fecha] = dict[region][fecha] || 0;\n \n dict[region][fecha] = dict[region][fecha] + (dataPCRPorFechaRegiones[region][rollingDate] || 0)\n })\n .value()\n })\n })\n \n return dict\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":6238,"value":"casosSemanales = {\n const dictRegiones={};\n const regiones = _.keys(dataGroupedByLocation);\n \n const fechas = _.chain(dataGroupedByLocation[regiones[0]].items).map(d => d.date).sortBy().value()\n \n\n const dict = {};\n \n _.chain(dataGroupedByLocation)\n .each((record) => {\n record.items.forEach(d => {\n const weeklyCases = d.weekAgoRecord ? d.total_cases - d.weekAgoRecord.total_cases : null;\n dict[record.location] = dict[record.location] || {};\n dict[record.location][d.date] = dict[record.location][d.date] || weeklyCases;\n \n \n })\n })\n .value()\n \n return dict\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5725,"value":"dataPCRPorFechaChile = {\n const data = await d3.csv(\"https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto17/PCREstablecimiento_std.csv\");\n \n const dictPCR = {};\n \n _.chain(data)\n .filter(d => d[\"Establecimiento\"] == \"Total informados ultimo dia\")\n .map(d => ({\n date: d[\"fecha\"],\n new_tests: +d[\"Numero de PCR\"]\n }))\n .each(d => {\n dictPCR[d.date] = d.new_tests\n })\n .value();\n \n return dictPCR;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5751,"value":"dataPCRPorFechaRegiones = {\n const data = await d3.csv(\"https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto7/PCR_std.csv\");\n \n //return data\n const dictPCR = {};\n \n _.chain(data)\n .each(d => {\n const region = d[\"Region\"];\n const fecha = d[\"fecha\"];\n const valor = +d[\"numero\"];\n \n dictPCR[region] = dictPCR[region] || {};\n dictPCR[region][fecha] = valor;\n })\n .value();\n \n return dictPCR;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":2138,"value":"data = {\n return _.concat(dataChileV4);\n //return _.concat(dataChileV4).filter(d => d.date <= \"2020-07-04\")\n //return _.concat(dataChile, dataChileV2, dataChileV3, dataChileV4) \n}\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":3993,"value":"dataChile = dataChile_MinCiencia\n//dataChile = dataChile_MinCienciaMenos553","pinned":false,"hidden":false,"mode":"ojs"},{"id":4101,"value":"dataChileV2 = {\n const data = dataChile_MinCiencia.map(d => {\n const record = _.cloneDeep(d);\n record.location = `${record.location} v2`\n record.total_deaths = dataFallecidosChile[record.date];\n return record;\n })\n \n \n return data;\n \n}\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":4135,"value":"dataFallecidosChile = {\n \n const dict = {};\n \n let accum = 0;\n _.chain(dataChile)\n .map(d => d.date)\n .each(d => {\n accum += +dataNuevosFallecidosChile[d] || 0;\n dict[d] = accum;\n })\n .value()\n \n return dict\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":4087,"value":"dataNuevosFallecidosChile = {\n \n const dict = {};\n // const data = await d3.csv(\"https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto37/Defunciones_std.csv\"); \n \n const data = await d3.csv(\"https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto37/Defunciones_deis_std.csv\");\n \n \n \n \n const ultimaPublicacion = _.chain(data).map(d => d.Publicacion).uniq().sortBy().last().value();\n \n data.filter(d => d.Publicacion == ultimaPublicacion)\n .filter(d => d.Serie == \"confirmados\")\n .forEach(d => {\n dict[d.Fecha] = +d[\"Numero defunciones\"]\n })\n \n return dict\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":4156,"value":"dataChileV3 = {\n const data = dataChile_MinCienciaAdjustado.map(d => {\n const record = _.cloneDeep(d);\n record.location = `${record.location} v3`\n return record;\n })\n \n \n return data;\n \n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":6212,"value":"dataChileV4.filter(d => d.location ==\"Chile\")// && d.date == \"2020-06-15\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":5536,"value":"dataChileV4 = {\n const data = dataChile_MinCienciaRegionesAdjustado.map(d => {\n const record = _.cloneDeep(d);\n record.location = `${record.location}`\n \n record[\"new_tests_pcr\"]= record.location == \"Chile\" \n ? dataPCRPorFechaChile[record.date]\n : dataPCRPorFechaRegiones[record.location] && dataPCRPorFechaRegiones[record.location][record.date]\n \n record[\"test_pcr_7Days\"] = testPCR7Days(record.location, record.date)\n \n return record;\n })\n return data;\n \n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5852,"value":"function testPCR7Days(location, date) {\n let locationPCRPorFecha;\n if (location == \"Chile\") {\n locationPCRPorFecha = dataPCRPorFechaChile\n } else {\n locationPCRPorFecha = dataPCRPorFechaRegiones[location]\n }\n \n let total = 0;\n _.range(0,7).forEach(d => {\n const rollingDate = moment(date).subtract(d,\"days\").format(\"YYYY-MM-DD\");\n total += locationPCRPorFecha && locationPCRPorFecha[rollingDate] || 0;\n })\n \n return total;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":4149,"value":"$50","pinned":false,"hidden":false,"mode":"ojs"},{"id":5505,"value":"$51","pinned":false,"hidden":false,"mode":"ojs"},{"id":6185,"value":"dataRegionesMinCiencia.filter(d => d.Region == \"Total\" && d.Fecha >= \"2020-06-25\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":6202,"value":"dataRegionesMinCiencia.filter(d => d.Region == \"Total\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":6215,"value":"dataRegionesMinCiencia.filter(d => d.Region ==\"Total\" && (d.Fecha == \"2020-07-05\" || d.Fecha == \"2020-07-04\"))","pinned":false,"hidden":false,"mode":"ojs"},{"id":5456,"value":"dataRegionesMinCiencia = {\n /*\n const data = (await d3.csv(\"https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto3/TotalesPorRegion_std.csv\"));\n const dataChile = [];\n */\n\n \n \n const data = (await d3.csv(\"https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto3/TotalesPorRegion_std.csv\")).filter(d => d.Region !== \"Total\");\n \n const dataChile = (await d3.csv(\"https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto5/TotalesNacionales_std.csv\")).map(d => {\n d[\"Region\"] = \"Total\";\n d[\"Categoria\"] = d[\"Dato\"];\n return d\n });\n \n \n \n \n return _.concat(data, dataChile)\n \n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":3992,"value":"$52","pinned":false,"hidden":false,"mode":"ojs"},{"id":2124,"value":"dataChile_adhoc = d3.tsv(\"https://raw.githubusercontent.com/elaval/Coronavirus/master/coronavirus_data_chile.tsv\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":3955,"value":"dataCuarentenas = {\n const dataRaw = await d3.json(\"https://services1.arcgis.com/LsoiDXzijohT7g97/arcgis/rest/services/COVID19ChileAcciones/FeatureServer/1/query?where=1%3D1&outFields=OBJECTID,CuarentenaID,Nombre,Estado,Alcance,FInicio,FTermino,Cut_Com&returnGeometry=false&outSR=4326&f=json\");\n return dataRaw.features.map(d => {\n const record = d.attributes;\n return {\n comuna: record.Nombre,\n desde: moment(record.FInicio).format(\"YYYY-MM-DD\"),\n hasta: moment(record.FTermino).format(\"YYYY-MM-DD\"),\n cut: record.Cut_Com\n }\n })\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":5561,"value":"$53","pinned":false,"hidden":false,"mode":"ojs"},{"id":5544,"value":"adjusteFallecidos20200607PorRegion = ({\n \"Arica y Parinacota\":-2,\n \"Tarapacá\":3,\n \"Antofagasta\":-3,\n \"Atacama\":0,\n \"Coquimbo\":-1,\n \"Valparaíso\":-10,\n \"Metropolitana\":611,\n \"O’Higgins\":-5,\n \"Maule\":-6,\n \"Ñuble\":-7,\n \"Biobío\":-2,\n \"Araucanía\":-19,\n \"Los Ríos\":0,\n \"Los Lagos\":-1,\n \"Aysén\":0,\n \"Magallanes\":-5,\n \"Chile\":553\n })","pinned":false,"hidden":false,"mode":"ojs"},{"id":5309,"value":"adjustDeathsV1 = ({\n value:553,\n from:\"2020-03-01\",\n to:\"2020-06-06\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":5289,"value":"adjustCasesV1 = ({\n value:31422,\n from:\"2020-03-01\",\n to:\"2020-06-16\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":2747,"value":"countryStandardInfo = {\n const countryData = await d3.csv(\"https://raw.githubusercontent.com/lukes/ISO-3166-Countries-with-Regional-Codes/master/all/all.csv\")\n //const countryData = []\n \n const dict = {};\n \n countryData.forEach(d => dict[d.name] = d)\n return dict\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":2337,"value":"$54","pinned":false,"hidden":false,"mode":"ojs"},{"id":2019,"value":"function standarizeJHURaw(data) {\n const dates = _.chain(data[0]).map((d,key) => key).filter(d => moment(d).isValid()).value()\n const groupedData = _.chain(data)\n //.filter(d => d[\"Country/Region\"] == \"China\")\n .groupBy(d => d[\"Country/Region\"])\n .map((items, key) => {\n const accumValues = {};\n dates.forEach(d => accumValues[d] = 0);\n \n items.forEach(item => {\n dates.forEach(d => accumValues[d] = accumValues[d] + +item[d])\n })\n return ({\n location: key,\n items: accumValues\n })\n })\n .value()\n \n const newData = groupedData.map(d => {\n return _.map(d.items, (value, key) => ({\n location: d.location,\n date : moment(key,\"M-D-YY\").format(\"YYYY-MM-DD\"),\n total_cases : value,\n new_cases: value-d.items[moment(key,\"M/D/YY\").subtract(1, \"day\").format(\"M/D/YY\")] || 0\n }))\n\n })\n \n \n return _.flatten(newData)\n}\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":1397,"value":"md`## Aux functions`","pinned":false,"hidden":false,"mode":"ojs"},{"id":966,"value":"$55","pinned":false,"hidden":false,"mode":"ojs"},{"id":3936,"value":"adHocFlags = ({\n \"Puerto Rico\" : await FileAttachment(\"PuertoRico.png\").url()\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":659,"value":"function flagUrl(country) {\n \n if (adHocFlags[country]) {\n return adHocFlags[country]\n } else {\n const name = (countryNameMApping[country] || country).toLowerCase().split(\" \").join(\"-\")\n \n return `https://cdn.countryflags.com/thumbs/${name}/flag-round-250.png`\n }\n \n\n}\n ","pinned":false,"hidden":false,"mode":"ojs"},{"id":5597,"value":"function flagUrlChile() {\n \n return `https://cdn.countryflags.com/thumbs/chile/flag-round-250.png`\n\n \n\n}\n ","pinned":false,"hidden":false,"mode":"ojs"},{"id":1879,"value":"function flagUrlRect(country) {\n \n const name = (countryNameMApping[country] || country).toLowerCase().split(\" \").join(\"-\")\n \n return `https://cdn.countryflags.com/thumbs/united-states-of-america/flag-png-small.png`\n //https://cdn.countryflags.com/download/chile/flag-png-icon-32.png\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1387,"value":"md`## Code Libraries`","pinned":false,"hidden":false,"mode":"ojs"},{"id":6307,"value":"vegalite = require(\"@observablehq/vega-lite@0.2\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":4255,"value":"es_ES = ({\n \"decimal\": \",\",\n \"thousands\": \".\",\n \"grouping\": [3],\n \"currency\": [\"$\", \"\"],\n \"dateTime\": \"%a %b %e %X %Y\",\n \"date\": \"%d/%m/%Y\",\n \"time\": \"%H:%M:%S\",\n \"periods\": [\"AM\", \"PM\"],\n \"days\": [\"Domingo\", \"Lunes\", \"Martes\", \"Miércoles\", \"Jueves\", \"Viernes\", \"Sábado\"],\n \"shortDays\": [\"Dom\", \"Lun\", \"Mar\", \"Mi\", \"Jue\", \"Vie\", \"Sab\"],\n \"months\": [\"Enero\", \"Febrero\", \"Marzo\", \"Abril\", \"Mayo\", \"Junio\", \"Julio\", \"Agosto\", \"Septiembre\", \"Octubre\", \"Noviembre\", \"Diciembre\"],\n \"shortMonths\": [\"Ene\", \"Feb\", \"Mar\", \"Abr\", \"May\", \"Jun\", \"Jul\", \"Ago\", \"Sep\", \"Oct\", \"Nov\", \"Dic\"]\n });","pinned":false,"hidden":false,"mode":"ojs"},{"id":83,"value":"import {style_bootstrap, style_fontawesome} from \"@elaval/utils\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":304,"value":"xlsx = require('https://bundle.run/xlsx@0.14.1')","pinned":false,"hidden":false,"mode":"ojs"},{"id":12,"value":"_ = require(\"lodash\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":1678,"value":"d3Regression = require.alias({\n \"d3-regression\": \"d3-regression@1\",\n})(\"d3-array\", \"d3-axis\", \"d3-regression\", \"d3-scale\", \"d3-shape\", \"d3-selection\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":7,"value":"d3 = require(\"d3\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":4257,"value":"d3.formatDefaultLocale(es_ES)","pinned":true,"hidden":false,"mode":"ojs"},{"id":249,"value":"moment = require('moment@2.24.0/moment.js')","pinned":false,"hidden":false,"mode":"ojs"},{"id":4247,"value":"{\n moment.updateLocale('es', {\n weekdays : [\n \"Domingo\", \"Lunes\", \"Martes\", \"Miércoles\", \"Jueves\", \"Viernes\", \"Sábado\"\n ]\n});\n \n moment.updateLocale('es', {\n months : [\n \"Enero\", \"Febrero\", \"Marzo\", \"Abril\", \"Mayo\", \"Junio\", \"Julio\",\n \"Agosto\", \"Septiembre\", \"Octubre\", \"Noviembre\", \"Diciembre\"\n ],\n monthsShort : [\n \"Ene\", \"Feb\", \"Mar\", \"Abr\", \"May\", \"Jun\",\n \"Jul\", \"Ago\", \"Sep\", \"Oct\", \"Nov\", \"Dic\"\n ],\n weekdaysShort : [\"Dom\", \"Lun\", \"Mar\", \"Mie\", \"Jue\", \"Vie\", \"Sab\"]\n\n});\n \n moment.updateLocale('en', {\n monthsShort : [\n \"Ene\", \"Feb\", \"Mar\", \"Abr\", \"May\", \"Jun\",\n \"Jul\", \"Ago\", \"Sep\", \"Oct\", \"Nov\", \"Dic\"\n ]\n});\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":333,"value":"import {input, autoSelect,text, select, date, radio, button, slider, number} from '@jashkenas/inputs'","pinned":false,"hidden":false,"mode":"ojs"},{"id":627,"value":"ga = {\n const ga = await require(\"https://www.google-analytics.com/analytics.js\").catch(() => window.ga);\n ga(\"create\", \"UA-143020946-12\", \"auto\");\n ga(\"send\", \"pageview\", html``.pathname);\n return ga;\n}","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W56","stdlib":"1","titling":"auto"}

Aumento de nuevas cifras semanales comparado con el mismo día de la semana previa

${region == "Chile" ? "CHILE" : `Región ${region.toUpperCase()}`}

${d.location}

${d.location}

${region}

Cifras ajustadas para anular la distorsión de 553 nuevos fallecidos y 31.422 casos confirmados que corregían omisiones de fechas previas

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5974,"value":"{\n debugger;\n return buildDashboard(selectedRegion,true)\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":6057,"value":"html`

Fallecidos reportados la última semana por region

Paneles de indicadores por región (ordenados según cantidad de fallecidos en última semana)

Evolución de nuevos casos confirmados en la semana (\"Ola de crecimiento semanal\")

Evolución de nuevos fallecidos reportados en la semana (Ola de crecimiento semanal)

Ola de crecimiento semanal por región (ordenado según cantidad de fallecidos en última semana)

Pistas para entender los gráficos de \"Ola de crecimiento semanal\"

Aumento de nuevo casos confirmados semanalmente comparado con el mismo día de la semana previa

\"Aumento del Aumento\" (aumento de nuevos fallecidos reportados semanalmente) comparado con el mismo día de la semana previa

\"Aumento del Aumento\" de fallecidos por regiones (ordenado según número de fallecidos la última semana)

Cantidad de exámenes PCR realizados en los últimos 7 días

Autor

Fuente de datos