31:T795,{ const dataIncidencia = _.chain(data) .filter(d => d.location==selectedComuna ) .value() const dict = {} dataIncidencia.forEach(d => { dict[d.date] = dict[d.date] || {}; dict[d.date].incidencia = +d.incidence dict[d.date].poblacion = +d.poblacion dict[d.date].cases = +d.weeklyCases dict[d.date].casos7Dias = +d.casos7Dias dict[d.date].casos7Dias1SemanaAtras = +d.casos7Dias1SemanaAtras dict[d.date].variacion7dias = +d.variacion7dias }) //return dict const dataPositividad = dataPositividadComunal.filter(d => d.Comuna==selectedComuna && dict[d.Fecha]); dataPositividad.forEach(d => { dict[d.Fecha].positividad = +d.Positividad/100 }) let nodes = _.chain(dict) .map((d,fecha) => ({ date: fecha, incidencia: d.incidencia, positividad: d.positividad || null, poblacion: d.poblacion || null, cases: d.cases || null, tests: d.cases/d.positividad || null, casos7Dias: d.casos7Dias || null, casos7Dias1SemanaAtras: d.casos7Dias1SemanaAtras || null, variacion7dias: d.variacion7dias || null, })) .sortBy(d => d.date) .takeRight(20) .value() if (sortDirection == "desc") { nodes = _.reverse(nodes) } //return nodes const out = html` ${nodes.map(d => ` `)}

Fecha	Incidencia (casos x 100 mil habitantes)	Casos semanales hace 7 días	Casos semanales	Variación 7 días
${moment(d.date).format("D MMM YYYY")}	${d3.format(".1f")(+d.incidencia)}	${d3.format("d")(+d.casos7Dias1SemanaAtras)}	${d3.format("d")(+d.casos7Dias)}	${d3.format(".1%")(+d.variacion7dias)}

` return out }32:T4af,{ return html`` const selectedData = data.filter(d => d.location == location && d.date >= "2020-04-06") const _width = width; const hideName = true; const showForecast = false; const el = html`

${hideName ? "Comuna ???" : `${location} ${showForecast ? ` | Tu pronóstico: ${forecast == "positive" ? `positivo` : `negativo`}`: ``}`}

${hideName ? `

Indica tu pronóstico para saber el nombre de la comuna

`: ``}

` const visEl = d3.select(el).select("div.vis svg"); const visObj = new IncidenceVis(visEl.node()); visObj.width(_width).render(dummyData2) return el } 33:Tb54,function buildIncidenceChart(location, options) { const selectedData = data.filter(d => d.location == location && d.date >= minDate) const lastRecord = _.last(selectedData); const _width = options && options.width || width; const hideName = options && options.hideName; const showForecast = options && options.showForecast; /* dict[d.date].casos7Dias = +d.casos7Dias dict[d.date].casos7Dias1SemanaAtras = +d.casos7Dias1SemanaAtras dict[d.date].variacion7dias = +d.variacion7dias */ const el = html`

${location} - ${moment(lastRecord.date).format("D MMMM")}: ${d3.format(".1f")(lastRecord.incidence)} casos diarios x 100 mil habitantes

${d3.format(".1%")(lastRecord.variacion7dias)} variación de casos semanales en 7 días (${+lastRecord.casos7Dias1SemanaAtras > +lastRecord.casos7Dias ? "baja" : "sube"} de ${d3.format("d")(lastRecord.casos7Dias1SemanaAtras)} a ${d3.format("d")(lastRecord.casos7Dias)})

${d3.format(".1%")(lastRecord.variacion14dias)} variación de casos semanales en 14 días (${+lastRecord.casos14Dias2SemanasAtras > +lastRecord.casos14Dias ? "baja" : "sube"} de ${d3.format("d")(lastRecord.casos14Dias2SemanasAtras)} a ${d3.format("d")(lastRecord.casos14Dias)})

Casos activos ${+lastRecord.activos > +lastRecord.activos1SemanaAtras ? 'subieron' : "bajaron"} de ${d3.format("d")(lastRecord.activos1SemanaAtras)} a ${d3.format("d")(lastRecord.activos)} en 7 días

Fuente: Informes Epidemiológicos, Ministerio de Salud

@elaval

Nota: Casos reportados (e incidencia) dependen del número de tests realizados. La variación en el tiempo puede explicarse en parte por cambios en números de tests

` const visEl = d3.select(el).select("div.vis svg"); const visObj = new IncidenceVis(visEl.node()); visObj.width(_width).render(selectedData) return el } 34:T2200,class IncidenceVis { constructor(el) { debugger; this._data = []; this._margin = {left: 70, right:100, top:20, bottom: 60}; this._totalWidth = width; this._totalHeight = width/2; this.lowThreshold = 0.5; this.metric = "incidence"; this.logScale = logScale; 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 = (this.logScale ? d3.scaleLog() : d3.scaleLinear()) .range([this._height,0]) this.baseFontSize = width / 50; this.colorScale = d3.scaleOrdinal(d3.schemeCategory10) var formatMillisecond = locale.format(".%L"), formatSecond = locale.format(":%S"), formatMinute = locale.format("%I:%M"), formatHour = locale.format("%I %p"), formatDay = locale.format("%a %d"), formatWeek = locale.format("%b %d"), formatMonth = locale.format("%d %b"), formatYear = locale.format("%Y"); function multiFormat(date) { return (d3.timeSecond(date) < date ? formatMillisecond : d3.timeMinute(date) < date ? formatSecond : d3.timeHour(date) < date ? formatMinute : d3.timeDay(date) < date ? formatHour : d3.timeMonth(date) < date ? (d3.timeWeek(date) < date ? formatDay : formatWeek) : d3.timeYear(date) < date ? formatMonth : formatYear)(date); } this.yAxis = d3.axisLeft(this.yScale) .tickFormat(d3.format(",")); this.xAxis = d3.axisBottom(this.xScale) .tickFormat(multiFormat); 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("rect") .attr("class", "alto") .attr("width", this._width) this.container.append("rect") .attr("class", "bajo") .attr("width", this._width) this.container.append("text") .attr("class", "label alto") .attr("text-anchor", "end") .attr("dy", "1em") .attr("fill", "white") .text("INCIDENCIA ALTA") this.container.append("text") .attr("class", "label bajo") .attr("text-anchor", "end") .attr("dy", -5) .text("INCIDENCIA BAJA") this.container .append("g") .attr("class", "y axis") this.container .append("g") .attr("transform", `translate(0,${this._height})`) .attr("class", "x axis") // text label for the x axis this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", this.baseFontSize) .attr("y", this._margin.bottom-32) .attr("class", "title x") .attr("dy", 5) .attr("transform",`translate(${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.baseFontSize) .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("Nuevos casos x 100 mil habitantes"); // text label for the y axis this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", this.baseFontSize) .attr("class", "title y log") .attr("transform",`rotate(-90)`) .attr("y", 0 - this._margin.left) .attr("x",0 - (this._height / 2)) .attr("dy", "2em") .style("text-anchor", "middle") .text("Escala logarítmica"); this.line = d3.line() .x((d, i) => this.xScale(moment(d.date))) // set the x values for the line generator .y((d) => this.yScale(+d[this.metric] && +d[this.metric] >= this.lowThreshold ? +d[this.metric] : this.lowThreshold )) // set the y values for the line generator .curve(d3.curveMonotoneX) // apply smoothing to the line } getY(record) { return this.yScale(+record[this.metric] && +record[this.metric] >= this.lowThreshold ? +record[this.metric] : this.lowThreshold ) } render(data) { const self = this; debugger; const maxCases = _.max(data.map(d=> +d[this.metric])); const minCases = _.min(data.map(d=> +d[this.metric])); const startDate = data[0].date; const endDate = _.last(data).date; const startValue = maxCases; const endValue = _.last(data)[this.metric];; const numWeeks = -moment(startDate).diff(moment(endDate), "weeks"); // Update axis this.xScale.domain(d3.extent(data, d => moment(d.date))) this.yScale.domain([0.5,maxCases]) this.container.select("g.y.axis") .call(this.yAxis) this.container.select("g.x.axis") .transition() .duration(duration) .call(this.xAxis) const trendLineData = [0.05, 0.10, 0.20] .map(d => buildTrendPoints(startDate,startValue,numWeeks,d)) .map(d => ({ rate: d.rate, x1: this.xScale(moment(d.startDate)), x2: this.xScale(moment(d.endDate)), y1: this.yScale(d.startValue), y2: this.yScale(d.endValue), })) .map(d => ({ rate: d.rate, x1: d.x1, x2: d.x2, y1: d.y1, y2: d.y2, slope: (d.y2-d.y1)/(d.x2-d.x1), })); const trendLineData2 = [-0.2, -0.05 ,0, 0.05, 0.20] .map(d => buildTrendPoints2(endDate,endValue,numWeeks,d)) .map(d => ({ rate: d.rate, x1: this.xScale(moment(d.startDate)), x2: this.xScale(moment(d.endDate)), y1: this.yScale(d.startValue), y2: this.yScale(d.endValue), })) .map(d => ({ rate: d.rate, x1: d.x1, x2: d.x2, y1: d.y1, y2: d.y2, slope: (d.y2-d.y1)/(d.x2-d.x1), })); const trendLines = this.container.selectAll("line.trend") .data(trendLineData2) .join("line") .attr("class", "trend") .attr("x1",d=> d.x1) .attr("x2",d=> d.x2) .attr("y1",d=> d.y1) .attr("y2",d=> d.y2) .attr("stroke","grey") const trendSlopes = this.container.selectAll("text.trendSlope") .data(trendLineData2) .join("text") .attr("class", "trendSlope") .attr("dy", -5) .attr("dx", -200) .attr("fill", "grey") //.attr("transform",d => `rotate(${180*Math.atan(d.slope)/Math.PI}) translate(${d.x2},${d.y2}) `) .attr("transform",d => `translate(${d.x2},${d.y2}) rotate(${180*Math.atan(d.slope)/Math.PI}) `) .text(d => `${ d.rate > 0 ? `-${d3.format(".0%")(d.rate)}` : d.rate < 0 ? `+${d3.format(".0%")(-d.rate)}` : `${d3.format(".0%")(-d.rate)}` }`) const points = this.container.selectAll("g.point") .data(data) .join("g") .attr("class", "point") .attr("transform",(d,i) => `translate(${this.xScale(moment(d.date))}, ${this.getY(d)})`) const circles = points.selectAll("circle") .data(d => [d]) .join("circle") .attr("fill", "blue") .attr("r",2) const path = this.container.selectAll("path.curve") .data([data]) .join("path") .attr("class", "curve") .attr("d",d => { debugger; const out = this.line(d) return out; }) this.container.selectAll("rect.alto") .attr("height", d => Math.abs(this.yScale(maxCases)-this.yScale(10))) .attr("fill", "red") this.container.selectAll("rect.bajo") .attr("y", d => Math.abs(this.yScale(2))) .attr("height", d => Math.abs(this.yScale(2)-this.yScale(this.lowThreshold))) .attr("fill", "yellow") this.container.select("text.label.bajo") .attr("y", this.yScale(this.lowThreshold)) .attr("x", this._width) this.container.select("text.label.alto") .attr("y", this.yScale(maxCases)) .attr("x", this._width) } width(_) { this._totalWidth = _; this._totalHeight = _/2; this.startup(); return this; } }35:T1870,class IncidenceVisDummy { constructor(el) { debugger; this._data = []; this._margin = {left: 60, right:100, top:20, bottom: 50}; this._totalWidth = width; this._totalHeight = width/2; this.lowThreshold = 0.5; this.metric = "incidence"; this.logScale = logScale; 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.baseFontSize = width / 20; this.xScale = d3.scaleTime() .range([0,this._width]) this.yScale = (this.logScale ? d3.scaleLog() : 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},${this._margin.top})`) this.container.append("rect") .attr("class", "alto") .attr("width", this._width) this.container.append("rect") .attr("class", "bajo") .attr("width", this._width) this.container.append("text") .attr("class", "label alto") .attr("text-anchor", "end") .attr("dy", "1em") .attr("fill", "white") .text("INCIDENCIA ALTA") this.container.append("text") .attr("class", "label bajo") .attr("text-anchor", "end") .attr("dy", -5) .text("INCIDENCIA BAJA") this.container .append("g") .attr("class", "y axis") this.container .append("g") .attr("transform", `translate(0,${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.baseFontSize) .attr("y", this._margin.bottom-12) .attr("class", "title x") .attr("dy", ) .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.baseFontSize) .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("Nuevos casos x 100 mil habitantes"); this.container.append("text") .attr("font-family", "sans-serif") .attr("font-size", this.baseFontSize) .attr("y", this._margin.bottom) .attr("class", "title x") .attr("dy", 0) .attr("transform",`translate(${this._width/2},${this._height})`) .style("text-anchor", "middle") .text(`Eje Y utiliza escala logarítmica`); this.line = d3.line() .x((d, i) => this.xScale(moment(d.date))) // set the x values for the line generator .y((d) => this.yScale(+d[this.metric] && +d[this.metric] >= this.lowThreshold ? +d[this.metric] : this.lowThreshold )) // set the y values for the line generator .curve(d3.curveMonotoneX) // apply smoothing to the line } getY(record) { return this.yScale(+record[this.metric] && +record[this.metric] >= this.lowThreshold ? +record[this.metric] : this.lowThreshold ) } render(data) { const self = this; debugger; const maxCases = _.max(data.map(d=> +d[this.metric])); const minCases = _.min(data.map(d=> +d[this.metric])); // Update axis this.xScale.domain(d3.extent(data, d => moment(d.date))) this.yScale.domain([0.5,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(moment(d.date))}, ${this.getY(d)})`) const circles = points.selectAll("circle") .data(d => [d]) .join("circle") .attr("fill", "blue") .attr("r",2) const path = this.container.selectAll("path.curve") .data([data]) .join("path") .attr("class", "curve") .attr("d",d => { debugger; const out = this.line(d) return out; }) const steps = this.container.selectAll("rect.step") .data(stepsData) .join("rect") .attr("class", "step") .attr("width", d => this.xScale(moment(d.nextDate))-this.xScale(moment(d.date))) .attr("height", d => this.yScale(d.nextValue)-this.yScale(d.incidence) ) .attr("x", d => this.xScale(moment(d.date))) .attr("y", d => this.yScale(d.incidence)) .attr("fill", "none") .attr("stroke", "grey") .attr("stroke-width", 1) this.container.selectAll("rect.alto") .attr("height", d => Math.abs(this.yScale(maxCases)-this.yScale(10))) .attr("fill", "red") this.container.selectAll("rect.bajo") .attr("y", d => Math.abs(this.yScale(2))) .attr("height", d => Math.abs(this.yScale(2)-this.yScale(this.lowThreshold))) .attr("fill", "yellow") this.container.select("text.label.bajo") .attr("y", this.yScale(this.lowThreshold)) 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2021-10-10T201837.009.tsv","type":"text/tab-separated-values","lastModified":1633907943125.588,"size":6913465}] 2f:{"title":"Promedio de nuevos casos diarios x 100 mil habitantes por comuna","cells":[{"id":0,"value":"md`# Promedio de nuevos casos diarios x 100 mil habitantes por comuna`","pinned":false,"hidden":false,"mode":"ojs"},{"id":787,"value":"viewof selectedComuna = { \n const comunas = _.chain(data).map(d=> d.location).uniq().sortBy().value();\n return autoSelect({\n title:\"Comuna\",\n description:\"Seleccione la comuna para la cual mostrar datos\",\n options:_.chain(comunas).value(),\n value:_.chain(data).map(d=> d.location).uniq().sortBy().sample().value()\n })\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":682,"value":"{\n return selectedComuna ? buildIncidenceChart(selectedComuna, {hideName: false, showForecast:false}) : html``\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1101,"value":"viewof sortDirection = radio({\n title: 'Ordenar tabla',\n description: 'Seleccione criterio para ordenar la siguiente tabla',\n options: [\n { label: 'Ascendente (más reciente al final)', value: 'asc' },\n { label: 'Descendente (más reciente al principio)', value: 'desc' },\n ],\n value: 'asc'\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":839,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":945,"value":"html`

Autor

Ernesto Laval (@elaval)

\n\n

Fuente de datos

\nDatos de casos confirmados por comunas en Informes epidemiológicos del Ministerio de Salud de Chile, publicados por el Ministerio de Ciencia en: https://github.com/MinCiencia/Datos-COVID19/blob/master/output/producto1/Covid-19_std.csv\n

\n\n\n

\n\n\n`\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":299,"value":"html``","pinned":false,"hidden":false,"mode":"ojs"},{"id":435,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":106,"value":"html`\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":176,"value":"style_bootstrap","pinned":false,"hidden":false,"mode":"ojs"},{"id":807,"value":"maxDate = _.max(data.map(d => d.date))","pinned":false,"hidden":false,"mode":"ojs"},{"id":811,"value":"minDate = \"2020-04-06\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":573,"value":"logScale = true","pinned":true,"hidden":false,"mode":"ojs"},{"id":558,"value":"multicolumnWidth = 900;","pinned":true,"hidden":false,"mode":"ojs"},{"id":567,"value":"dummyDownRate = 0.8","pinned":true,"hidden":false,"mode":"ojs"},{"id":394,"value":"dummyData = {\n const weeks = 35;\n const startValue = 1;\n const peakWeek = \"2020-06-17\";\n const upRate = 1.4;\n const downRate = dummyDownRate;\n \n const startDate = \"2020-04-01\"\n let lastValue = startValue;\n \n return _.chain()\n .range(weeks)\n .map((d,i) => {\n \n \n \n const record = {\n date : moment(startDate).add(d, \"weeks\").format(\"YYYY-MM-DD\"),\n incidence: lastValue\n }\n \n lastValue = record.date < peakWeek ? lastValue * upRate : lastValue * downRate\n \n return record\n })\n .value()\n \n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":445,"value":"stepsData = {\n const downRate = dummyDownRate\n const n = Math.log(0.5) / Math.log(downRate)\n const peakDate = \"2020-06-17\";\n const maxV = 40.495651696639975;\n \n const data = _.chain()\n .range(10)\n .map(d => moment(peakDate).add(n*d, \"weeks\").format(\"YYYY-MM-DD\"))\n .map((d,i) => ({\n date: d,\n incidence : maxV * Math.pow(downRate, i*n)\n }))\n .value()\n \n\n return _.chain(data)\n .map((d,i) => ({\n date: d.date,\n incidence: d.incidence,\n diff: d.incidence - (data[i+1] && data[i+1].incidence) || 0,\n nextDate: (data[i+1] && data[i+1].date) || d.date,\n nextValue: (data[i+1] && data[i+1].incidence) || d.incidence\n \n }))\n .slice(0,6)\n .value()\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":431,"value":"dummyData2 = {\n const weeks = 35;\n const startValue = 1;\n const peakWeek = \"2020-06-15\";\n const plateauWeek = \"2020-09-01\";\n const upRate = 1.4;\n const downRate = dummyDownRate;\n \n const startDate = \"2020-04-01\"\n let lastValue = startValue;\n \n return _.chain()\n .range(weeks)\n .map((d,i) => {\n \n \n \n const record = {\n date : moment(startDate).add(d, \"weeks\").format(\"YYYY-MM-DD\"),\n incidence: lastValue\n }\n \n lastValue = record.date < peakWeek \n ? lastValue * upRate \n : record.date < plateauWeek\n ? lastValue * downRate\n : lastValue\n \n return record\n })\n .value()\n \n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":660,"value":"buildTrendLine = function(weeks, max, rate) {\n const data = _.chain(weeks)\n .map((d,i) => ({\n date: d,\n vaue: max * Math.pow((1-rate),i)\n }))\n .value();\n \n return data\n \n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":671,"value":"buildTrendPoints = function(startDate,startValue,numWeeks,rate) {\n const endDate = moment(startDate).add(numWeeks, \"weeks\").format(\"YYYY-MM-DD\");\n \n return {\n rate: rate,\n startDate: startDate,\n endDate: endDate,\n startValue: startValue,\n endValue: startValue * Math.pow((1-rate),numWeeks)\n }\n \n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":752,"value":"buildTrendPoints2 = function(endDate,endValue,numWeeks,rate) {\n const startDate = moment(endDate).subtract(numWeeks, \"weeks\").format(\"YYYY-MM-DD\");\n \n return {\n rate: rate,\n startDate: startDate,\n endDate: endDate,\n startValue: endValue / Math.pow((1-rate),numWeeks),\n endValue: endValue\n }\n \n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":676,"value":"buildTrendPoints(\"2020-03-01\", 40, 10, 0.05)\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":665,"value":"buildTrendLine(dummyData.map(d => d.date), 40, 0.05)","pinned":true,"hidden":false,"mode":"ojs"},{"id":952,"value":"{\n const dataComunas = _.chain(data).map(d => ({comuna: d.location, poblacion:+d.poblacion})).uniqBy(d => d.comuna).value();\n {\n \n return DOM.download(new Blob([d3.tsvFormat(dataComunas)], {type: \"text/tsv\"}), \"poblacionComunas.tsv\", \"Descargar Población comunas\")\n}\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1070,"value":"data","pinned":true,"hidden":false,"mode":"ojs"},{"id":18,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":7,"value":"$34","pinned":true,"hidden":false,"mode":"ojs"},{"id":439,"value":"$35","pinned":true,"hidden":false,"mode":"ojs"},{"id":9,"value":"duration = 1000","pinned":false,"hidden":false,"mode":"ojs"},{"id":151,"value":"comunasOK = []","pinned":false,"hidden":false,"mode":"ojs"},{"id":192,"value":"comunasNOK=[]","pinned":false,"hidden":false,"mode":"ojs"},{"id":168,"value":"mutable answer = true","pinned":false,"hidden":false,"mode":"ojs"},{"id":271,"value":"mutable forecast = false;","pinned":false,"hidden":false,"mode":"ojs"},{"id":239,"value":"mutable comunaSeleccionada = getComuna()","pinned":false,"hidden":false,"mode":"ojs"},{"id":255,"value":"mutable comunaAnterior = null","pinned":false,"hidden":false,"mode":"ojs"},{"id":182,"value":"getComuna()","pinned":false,"hidden":false,"mode":"ojs"},{"id":186,"value":"getComuna = function() {\n const comuna = _.sample([...bolsaComunas])\n bolsaComunas.delete(comuna)\n return comuna\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":158,"value":"mutable bolsaComunas = new Set(coleccionComunas)","pinned":false,"hidden":false,"mode":"ojs"},{"id":153,"value":"coleccionComunas = {\n const comunas = _.chain(data).map(d => d.location).uniq().value();\n \n return comunas\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":221,"value":"import {style_bootstrap, style_fontawesome} from \"@elaval/utils\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":804,"value":"data.filter(d => d.location==\"Osorno\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":835,"value":"dataPositividadComunal.filter(d => d.Comuna==\"Osorno\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":831,"value":"dataPositividadComunal = d3.csv(\"https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto65/PositividadPorComuna_std.csv\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":4,"value":"data_old = FileAttachment(\"data_incidencia_comunas - 2021-11-14T195311.025.tsv\").tsv()","pinned":false,"hidden":false,"mode":"ojs"},{"id":1151,"value":"data =d3.tsv(\"https://raw.githubusercontent.com/dataCovid19CL/datos_covid19/main/data_incidencia_comunas.tsv\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":148,"value":"d3.formatDefaultLocale(es_ES)","pinned":false,"hidden":false,"mode":"ojs"},{"id":146,"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":630,"value":"locale = d3.timeFormatLocale(es_ES);","pinned":true,"hidden":false,"mode":"ojs"},{"id":85,"value":"import {input, autoSelect,text, select, date, radio, button, number} from '@jashkenas/inputs'","pinned":false,"hidden":false,"mode":"ojs"},{"id":11,"value":"d3 = require(\"d3@6\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":15,"value":"_ = require(\"lodash\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":26,"value":"moment = require(\"moment\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":817,"value":"momentLocaleConfig = {\n moment.locale('es'); // 'en'\n \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});\n \n moment.updateLocale('es', {\n monthsShort : [\n \"Ene\", \"Feb\", \"Mar\", \"Abr\", \"May\", \"Jun\",\n \"Jul\", \"Ago\", \"Sep\", \"Oct\", \"Nov\", \"Dic\"\n ]\n});\n \n moment.updateLocale('es', {\n weekdaysShort : [\"Dom\", \"Lun\", \"Mar\", \"Mie\", \"Jue\", \"Vie\", \"Sab\"]\n});\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1082,"value":"moment(\"2020-12-22\").diff(moment(\"2021-06-11\"), \"days\")","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W36","stdlib":"1","titling":"auto"}