30:T4bd,md `Date: ${dates[dates.length-1]}.
US (0.33B population): cases ${sparkline(usaConfirmed)} (daily changes: ${changeSparkline(usaConfirmed)}) and deaths ${sparkline(usaDeaths)} (daily changes: ${changeSparkline(usaDeaths)}). You may like to look at the in-depth analysis of the US death data (COVID-19 Deaths Are Not Media Hype).
[Compare the numbers with data from two most populous countries in the world.
China (1.4B population): cases ${sparkline(chinaConfirmed)} (daily changes: ${changeSparkline(chinaConfirmed)}) and deaths ${sparkline(chinaDeaths)} (daily changes: ${changeSparkline(chinaDeaths)}). (Note: There are a lot of speculations in the media that the numbers for China may not be trustworthy. For example, see: How accurate are China's numbers?. Unfortunately there is no data anywhere to contradict or support the speculation.)
India (1.3B population): cases ${sparkline(indiaConfirmed)} (daily changes: ${changeSparkline(indiaConfirmed)}) and deaths ${sparkline(indiaDeaths)} (daily changes: ${changeSparkline(indiaDeaths)})].`31:T6e4,USsparklineTable = { const headerData = ["States",...HeaderData]; const data = {}; const stateNames = popData.map(d=>d.states); stateNames.forEach(function(state,i){ data[state] = {}; const cases = Object.values(usDataWide[state]).map(d=>d.cases).filter((d,i,A)=>(i==0 || (d>=A[i-1]))); const caseDensity = cases[cases.length-1]/popData[i].population; const casesPerThousand = 1000*caseDensity; cases.text = cases[cases.length-1]+" ("+( (casesPerThousand>0 && casesPerThousand<1)?"<1":(d3.format(",")(Math.round(casesPerThousand))) )+"/T)"; data[state].cases = cases; data[state].caseDensity = caseDensity; data[state].casesDaily = cases.map((d,i)=>((i==0)?0:(d-cases[i-1]))); const deaths = Object.values(usDataWide[state]).map(d=>d.deaths).filter((d,i,A)=>(i==0 || (d>=A[i-1]))); const deathDensity = deaths[deaths.length-1]/popData[i].population; const deathsPerTenThousand = 10000*deathDensity; deaths.text = deaths[deaths.length-1]+" ("+((deathsPerTenThousand>0 && deathsPerTenThousand<1)?"<1":(d3.format(",")(Math.round(deathsPerTenThousand))))+"/TT)"; data[state].deaths = deaths; data[state].deathDensity = deathDensity; data[state].deathsDaily = deaths.map(function(d,i){ let v = (i==0)?0:(d-deaths[i-1]); return v; }); let count = Math.max(cases.length); let deathOffset = count - deaths.length; data[state].fatalityRate = d3.range(count).map((i)=>(i>deathOffset && cases[i]>0)?Math.round(100*deaths[i-deathOffset]/cases[i]):0); }); //return data; //return checkData(stateNames, data,sortButton); //return sortedCovidData(stateNames, data,sortButton) return drawTable(sortedCovidData(stateNames, data,sortButton), headerData); }32:T5d9,WsparklineTable = { const headerData = ["Country",...HeaderData]; const data = {}; const stateNames = Object.keys(confirmed_n_death).filter (state=>wPopData[state]); stateNames.forEach(function(state){ data[state] = {}; const cases = confirmed_n_death[state].confirmed; const caseDensity = cases[cases.length-1]/wPopData[state]; const casesPerThousand = 10000*caseDensity; cases.text = cases[cases.length-1]+" ("+( (casesPerThousand>0 && casesPerThousand<1)?"<1":(d3.format(",")(Math.round(casesPerThousand))) )+"/TT)"; data[state].cases = cases; data[state].caseDensity = caseDensity; data[state].casesDaily = cases.map((d,i)=>((i==0)?0:(d-cases[i-1]))); const deaths = confirmed_n_death[state].deaths; const deathDensity = deaths[deaths.length-1]/wPopData[state]; const deathsPerMillion = 1000000*deathDensity; deaths.text = deaths[deaths.length-1]+" ("+((deathsPerMillion>0 && deathsPerMillion<1)?"<1":(d3.format(",")(Math.round(deathsPerMillion))))+"/M)"; data[state].deaths = deaths; data[state].deathDensity = deathDensity; data[state].deathsDaily = deaths.map((d,i)=>((i==0)?0:(d-deaths[i-1]))); let count = Math.max(cases.length); let deathOffset = count - deaths.length; data[state].fatalityRate = d3.range(count).map((i)=>(i>deathOffset && cases[i]>0)?Math.round(100*deaths[i-deathOffset]/cases[i]):0); }); return drawTable(sortedCovidData(stateNames, data, sortButton1), headerData); }33:T41f,sortedCovidData = function(stateNames, data, button){ //return stateNames.map(function(state,i){return data[state][button];}) let sortedData; if (button=="name") return data; else { const stateCases = stateNames.map(function(state,i){ let result = { state: state, cases: data[state].cases[data[state].cases.length-1], deaths: data[state].deaths[data[state].deaths.length-1], casesDaily: (data[state].cases[data[state].cases.length-1]-data[state].cases[data[state].cases.length-2]), deathsDaily: (data[state].deaths[data[state].deaths.length-1]-data[state].deaths[data[state].deaths.length-2]), caseDensity: data[state].caseDensity, deathDensity: data[state].deathDensity, fatalityRate: data[state].fatalityRate[data[state].fatalityRate.length-1] }; return result; }); stateCases.sort((a,b)=>(b[button]-a[button])); sortedData = {}; stateCases.map(d=>d.state).forEach(function(state){ sortedData[state] = data[state]; }); return sortedData; } }34:T760,rateChoropleth_divergent = { const factor = 1000; const dataType = "cases"; const rateData = {}; const stateNames = popData.map(d=>d.states); let total = 0; let totalPopulation = 0; let dates = Object.keys(usDataWide["New York"]).slice(2); stateNames.forEach(function(state,i){ const data = Object.values(usDataWide[state]).map(d=>d[dataType]).filter((d,i,A)=>(i==0 || (d>=A[i-1]))); const density = factor*data[data.length-1]/(+popData[i].population); totalPopulation+= (+popData[i].population); total += data[data.length-1]; rateData[state] = density; }); const averageRate = factor*total/totalPopulation; const rateExtent = d3.extent(Object.values(rateData)); const maxDiff = Math.max(averageRate-rateExtent[0],rateExtent[1]-averageRate); const extent = [rateExtent[0], averageRate, rateExtent[1]]; //const extent = [averageRate-maxDiff, averageRate, averageRate+maxDiff]; const svg = d3.create("svg") .attr("width",WIDTH).attr("height",HEIGHT) svg.append("rect").attr("width",WIDTH).attr("height",HEIGHT).style("fill","#c9e8fd"); svg.append("text") .attr("id","date") //.attr("x", margin.left) .attr("y", margin.top/2.5) .attr("font-size","15") .style("stroke","black") .style("fill","black") .text((dataType=="deaths"?"Deaths":"Confirmed cases")+" by "+dates[dates.length-1]); const chartContainer = svg.append("g") .attr("transform", `translate(${margin.left},${margin.top})`); const projection = d3.geoAlbersUsa().fitExtent([[0, 0], [Width, Height]], usMap); const geoPathGenerator = d3.geoPath().projection(projection); d3.interpolateLab("steelblue", "brown") const divColorScale = d3.scaleLinear() .domain(extent) .range(["#003c30","#f5f5f5","#543005"]); drawChoropleth(chartContainer, usMap, 'name', rateData, divColorScale, projection) return [svg.node(),divColorScale] }35:T6ca,function sparkline(values, width = 80, height = 17) { const n = values.length; const val = values[n-1]; const valText = d3.format(",")(val); const context = DOM.context2d(width, height); context.font = '12px arial'; let textMargin = 3; let textWidth = Math.ceil(context.measureText(valText).width); const marginRight = textWidth,marginTop=4; const svg = d3.select(DOM.svg(width+marginRight+textMargin,height+marginTop)); svg.style("font","12px arial"); const svgText = svg.append("text").style("fill","black").style("font-weight", "bold").text(valText); //const textWidth = d3.select("text").node().getBBox().width; const xScale = d3.scaleLinear().domain([0, n - 1]).range([0.5, width - 0.5]); const yScale = d3.scaleLinear().domain(d3.extent(values)).range([height + marginTop - 0.5, 0.5+marginTop]); const pathGenerator = d3.line().defined(d => !isNaN(d)).x((d, i) => xScale(i)).y(d=>yScale(d)); svg.append("path").datum(values).attr("d",pathGenerator).style("stroke","black").style("fill","none"); svgText.attr("x",xScale(n-1)+textMargin).attr("y",yScale(0)); svg.append("circle").attr("r",3).attr("cx",xScale(n-1)).attr("cy",yScale(val)).style("fill","red"); return svg.node(); /* const context = DOM.context2d(width, height); context.font = '12px arial'; const marginRight = Math.ceil(context.measureText(valText).width); const x = d3.scaleLinear().domain([0, n - 1]).range([0.5, width-marginRight - 0.5]); const y = d3.scaleLinear().domain(d3.extent(values)).range([height - 0.5, 0.5]); const line = d3.line().x((d, i) => x(i)).y(y).context(context); context.beginPath(), line(values), context.stroke(); context.fillText(valText, x(n-1), 12); return context.canvas; */ }36:Td0a,drawTable = function(tableData, headerData){ const node = html`

`; const div = d3.select(node); const table = div.append("table"); //table.attr("height", 500).style("overflow-y","auto"); /* const mainTable = div.append("table"); const mainRow = mainTable.append("tr"); const table = mainRow.append("td").append("table"); const scrollBar = mainRow.append("td").append("svg").attr("width",25).attr("height",300); scrollBar.append("rect").attr("width",25).attr("height",300).style("stroke","gray").style("fill","none"); const brush = d3.brushY(); const gBrush = scrollBar.append("g") .attr("class", "brush") .call(brush) .call(brush.move, [0, 150]); // removes handle to resize the brush d3.selectAll('.brush>.handle').remove(); // removes crosshair cursor d3.selectAll('.brush>.overlay').remove(); */ const header = table.append("tr"); if (headerData) header.selectAll(".headerCell") .data(headerData) .enter().append("td") .attr("class", "headerCell") .text(d => d); const textHeight = 17; const sparklineWidth = 70; const context = DOM.context2d(sparklineWidth, textHeight); context.font = '12px arial'; let casesWidth = Math.ceil(context.measureText(" cases: ").width); let deathsWidth = Math.ceil(context.measureText(" deaths: ").width); const textMargin = 3; const marginTop=4; const xScale = d3.scaleLinear(); const yScale = d3.scaleLinear(); const pathGenerator = d3.line().defined(d => !isNaN(d)).x((d, i) => xScale(i)).y(d=>yScale(d)); table.selectAll(".row") .data(Object.keys(tableData)) .join("tr") .attr("class", "row") .each(drawRow); function drawRow(state){ const row = d3.select(this); const rowData = [state]; Object.keys(tableData[state]).forEach(function(d) {if(d!="caseDensity"&&d!="deathDensity")rowData.push(tableData[state][d]);} ); const cells = row.selectAll(".cell") .data(rowData) .enter().append("td") .attr("class", "cell") .each(drawCol) } function drawCol(d,i){ const col = d3.select(this); if (i==0) col.text(d => d); else{ // Draw Sparkline const n = d.length; if (n==0){ col.text("Data Unavailable"); } else{ let text = d3.format(",")(d[n-1]); if (d.text) text = d.text; let textWidth = Math.ceil(context.measureText(text).width); const svg = col.append("svg") .attr("width",((i==1||(i==3))?160:130)) .attr("height",20) .style("font",'12px arial') .style("font-weight", "bold"); xScale.domain([0, n - 1]).range([0.5, sparklineWidth - 0.5]); yScale.domain(d3.extent(d)).range([textHeight + marginTop/2 - 0.5, 0.5+marginTop]) svg.append("path").datum(d).attr("d",pathGenerator).style("stroke","black").style("fill","none"); svg.append("circle").attr("r",3).attr("cx",xScale(n-1)).attr("cy",yScale(d[n-1])).style("fill","red"); svg.append("text") .style("fill","red") .attr("x",xScale(n-1)+textMargin) .attr("y",yScale(0)) .text(text); } } } return html`${node}`; } 37:T9f6,worldStatus= function(vizOption,dataType){ const svg = d3.create("svg") .style("display", "block") .attr("viewBox", [0, 0, WIDTH, HEIGHT]) .attr("width", WIDTH) .attr("height", HEIGHT); svg.append("rect").attr("width",WIDTH).attr("height",HEIGHT).attr("fill","lightgray"); const dateText = svg.append("text") .attr("id","date") //.attr("x", margin.left) .attr("y", margin.top/2) .attr("font-size","15") .style("stroke","black") .style("fill","black") .text("Test"); const chartContainer = svg.append("g") .attr("transform", `translate(${margin.left},${margin.top})`); const outline = ({type: "Sphere"}); //const projection = d3.geoEqualEarth().fitExtent([[0, 0], [Width, Height]], outline); const projection = d3.geoNaturalEarth1().fitExtent([[0, 0], [Width, Height]], outline); const geoPathGenerator = d3.geoPath().projection(projection); chartContainer.append("path").attr("d",geoPathGenerator(outline)).attr("fill","#c9e8fd"); const bubbleColor = "red"; let radScale=undefined; if (vizOption == "bubble") radScale = d3.scaleSqrt().domain(dataExtent.deaths).range([1, width/50]); const container = chartContainer.append("g"); const slider = createSlider(svg, 0, dates.length-1,dates.length-1, Height+margin.top/2, drawChart); let dateIndex = slider.value(); let viz = undefined; drawChart(); viz.on("mouseover", showToolTipData).on("mouseout", hideToolTip).on("mousemove", moveToolTip); return svg.node(); function drawChart(){ dateIndex =slider.value(); dateText.text((dataType=="deaths"?"Deaths ":"Confirmed cases ")+" by "+ dates[dateIndex]); let data = {}; let dData = {}; Object.keys(confirmed_n_death).forEach(function(d){ if (dataType == "confirmed") data[d] = confirmed_n_death[d].confirmed[dateIndex]; else data[d] = confirmed_n_death[d].deaths[dateIndex]; }); viz = (vizOption=="choropleth")?drawChoropleth(container, worldMap, "name", data, World_choropleth_colorScale,projection) :drawBubbleChart(container, worldMap, "name", data, radScale, bubbleColor, projection); } function showToolTipData(d) { let e = confirmed_n_death[d.properties.name]; let confirmedVal = 0; let deathsVal = 0; if (e) { confirmedVal = e.confirmed?e.confirmed[dateIndex]:0; deathsVal = e.deaths?e.deaths[dateIndex]:0; } let text = `${d.properties.name}: confirmed=${confirmedVal}, deaths=${deathsVal} on ${dates[dateIndex]}`; showToolTip(text); } }38:Ta9a,usStatus = function(vizOption, dataType){ let svg = d3.create("svg") .attr("width",WIDTH).attr("height",HEIGHT) svg.append("rect").attr("width",WIDTH).attr("height",HEIGHT).style("fill","#c9e8fd"); const chartContainer = svg.append("g") .attr("transform", `translate(${margin.left},${margin.top})`); let projection = d3.geoAlbersUsa().fitExtent([[0, 0], [Width, Height]], usMap); let geoPathGenerator = d3.geoPath().projection(projection); let states = usMap.features.map(function(d){ return d.properties.name;}); let dates = Object.keys(usDataWide["New York"]).slice(2); let maxdeaths = d3.max(Object.values(usDataWide).map(function(e){return d3.max(Object.values(e).map(d=>d.deaths))})); let maxCases = d3.max(Object.values(usDataWide).map(function(e){return d3.max(Object.values(e).map(d=>d.cases))})); let deathExtent = [0,maxdeaths]; let caseExtent = [1, maxCases]; let radScale = undefined const bubbleColor = "red"; if (vizOption == "bubble") radScale = d3.scaleSqrt().domain(deathExtent).range([1, width/50]); const container = chartContainer.append("g"); const slider = createSlider(svg, 0, dates.length-1,dates.length-1, Height+margin.top, drawChart); let viz = undefined; const dateText = svg.append("text") .attr("id","date") //.attr("x", margin.left) .attr("y", margin.top/2.5) .attr("font-size","15") .style("stroke","black") .style("fill","black") .text(""); let dateIndex = dates.length-1; drawChart(); viz.on("mouseover", showToolTipData).on("mouseout", hideToolTip).on("mousemove", moveToolTip); return svg.node(); function drawChart(){ dateIndex =slider.value(); let date = dates[dateIndex]; dateText.text((dataType=="deaths"?"Deaths":"Confirmed cases")+" by "+date); let data = {}; let dData = {}; Object.keys(usDataWide).forEach(function(d){ if (usDataWide[d][date]) if (dataType == "confirmed") data[d] = usDataWide[d][date]?usDataWide[d][date].cases:0; else data[d] = usDataWide[d][date].deaths; }); viz = (vizOption=="choropleth")?drawChoropleth(container, usMap, "name", data, US_choropleth_colorScale,projection) :drawBubbleChart(container, usMap, "name", data, radScale, bubbleColor, projection); } function showToolTipData(d) { let e = usDataWide[d.properties.name]; let confirmedVal = 0; let deathsVal = 0; let date = dates[dateIndex]; if (e) { confirmedVal = (e[date]?e[date].cases:0); deathsVal = (e[date]?e[date].deaths:0); } let text = `${d.properties.name}: confirmed=${confirmedVal}, deaths=${deathsVal} on ${date}`; showToolTip(text); } return svg.node() }39:T6a58,usCities= [ // I don't know why you're reading this boring file, // but please note that "pop" isn't always a population number. // The reasons are complicated, drop me a line if you really // care a lot about it :-) { city: 'Idaho Falls', state: 'Idaho', lat: 43.488673, lon: -112.03638, pop: 100000 }, { city: 'Amherst', state: 'Massachusetts', lat: 42.375623, lon: -72.51883, pop: 400000 }, { city: 'Lawrence', state: 'Kansas', lat: 38.96086, lon: -95.26454, pop: 100000 }, { city: 'Winchester', state: 'Massachusetts', lat: 42.45165, lon: -71.14659, pop: 100000 }, { city: 'Lexington', state: 'Massachusetts', lat: 42.44553, lon: -71.23065, pop: 100000 }, { city: 'Alliance', state: 'Nebraska', lat: 42.1001132, lon: -102.87543, pop: 100000 }, { city: 'Casper', state: 'Wyoming', lat: 42.83611, lon: -106.3452, pop: 100000 }, { city: 'Bangor', state: 'Maine', lat: 44.832518, lon: -68.790409, pop: 100000 }, { city: 'Grand Junction', state: 'Colorado', lat: 39.086035, lon: -108.56695, pop: 100000 }, { city: 'Rapid City', state: 'South Dakota', lat: 44.0700794, lon: -103.2178285, pop: 100000 }, { city: 'Bismarck', state: 'North Dakota', lat: 46.811371, lon: -100.768739, pop: 100000 }, { city: 'New York', state: 'New York', lat: 40.7143528, lon: -74.0059731, pop: 8175133 }, { city: 'Los Angeles', state: 'California', lat: 34.0522342, lon: -118.2436, pop: 3792621 }, { city: 'Chicago', state: 'Illinois', lat: 41.8781136, lon: -87.6297981, pop: 2695598 }, { city: 'Houston', state: 'Texas', lat: 29.7601927, lon: -95.369389, pop: 2099451 }, { city: 'Philadelphia', state: 'Pennsylvania', lat: 39.952335, lon: -75.163789, pop: 1526006 }, { city: 'Phoenix', state: 'Arizona', lat: 33.4483771, lon: -112.0740372, pop: 1445632 }, { city: 'San Antonio', state: 'Texas', lat: 29.4241219, lon: -98.4936281, pop: 1327407 }, { city: 'San Diego', state: 'California', lat: 32.7153292, lon: -117.157255, pop: 1307402 }, { city: 'Dallas', state: 'Texas', lat: 32.802955, lon: -96.769923, pop: 1197816 }, { city: 'San Jose', state: 'California', lat: 37.3393857, lon: -121.8949554, pop: 945942 }, { city: 'Jacksonville', state: 'Florida', lat: 30.3321838, lon: -81.655650, pop: 821784 }, { city: 'Indianapolis', state: 'Indiana', lat: 39.7685155, lon: -86.1580735, pop: 820445 }, { city: 'San Francisco', state: 'California', lat: 37.7749295, lon: -122.4194155, pop: 805235 }, { city: 'Austin', state: 'Texas', lat: 30.267153, lon: -97.7430607, pop: 790390 }, { city: 'Columbus', state: 'Ohio', lat: 39.9611755, lon: -82.9987942, pop: 1787033.1 }, { city: 'Fort Worth', state: 'Texas', lat: 32.725409, lon: -97.3208495, pop: 741206 }, { city: 'Charlotte', state: 'North Carolina', lat: 35.2270869, lon: -80.8431266, pop: 731424 }, { city: 'Detroit', state: 'Michigan', lat: 42.331427, lon: -83.0457538, pop: 713777 }, { city: 'El Paso', state: 'Texas', lat: 31.7587198, lon: -106.4869314, pop: 649121 }, { city: 'Memphis', state: 'Tennessee', lat: 35.1495343, lon: -90.0489801, pop: 646889 }, { city: 'Baltimore', state: 'Maryland', lat: 39.2903848, lon: -76.6121893, pop: 620961 }, { city: 'Boston', state: 'Massachusetts', lat: 42.3584308, lon: -71.0597732, pop: 617594 }, { city: 'Seattle', state: 'Washington', lat: 47.6062095, lon: -122.3320708, pop: 1608660.1 }, { city: 'Washington', state: 'District of Columbia', lat: 38.8951118, lon: -77.0363658, pop: 601723 }, { city: 'Nashville', state: 'Tennessee', lat: 36.1658899, lon: -86.7844432, pop: 601222 }, { city: 'Denver', state: 'Colorado', lat: 39.7391536, lon: -104.9847034, pop: 1200000 }, { city: 'Louisville', state: 'Kentucky', lat: 38.2526647, lon: -85.75845571, pop: 597337 }, { city: 'Milwaukee', state: 'Wisconsin', lat: 43.0389025, lon: -87.90647363, pop: 594833 }, { city: 'Portland', state: 'Oregon', lat: 45.5234515, lon: -122.6762071, pop: 583776 }, { city: 'Las Vegas', state: 'Nevada', lat: 36.114646, lon: -115.17281601, pop: 583756 }, { city: 'Oklahoma City', state: 'Oklahoma', lat: 35.4675602, lon: -97.51642759, pop: 579999 }, { city: 'Albuquerque', state: 'New Mexico', lat: 35.0844909, lon: -106.6511367, pop: 545852 }, { city: 'Tucson', state: 'Arizona', lat: 32.2217429, lon: -110.92647897, pop: 520116 }, { city: 'Fresno', state: 'California', lat: 36.7477272, lon: -119.7723661, pop: 494665 }, { city: 'Sacramento', state: 'California', lat: 38.5815719, lon: -121.49439961, pop: 466488 }, { city: 'Long Beach', state: 'California', lat: 33.8041667, lon: -118.15805561, pop: 462257 }, { city: 'Kansas City', state: 'Missouri', lat: 39.0997265, lon: -94.57856671, pop: 459787 }, { city: 'Mesa', state: 'Arizona', lat: 33.4151843, lon: -111.8314724, pop: 439041 }, { city: 'Virginia Beach', state: 'Virginia', lat: 36.8529263, lon: -75.97798499, pop: 437994 }, { city: 'Atlanta', state: 'Georgia', lat: 33.7489954, lon: -84.3879824, pop: 420003 }, { city: 'Colorado Springs', state: 'Colorado', lat: 38.8338816, lon: -104.8213634, pop: 416427 }, { city: 'Omaha', state: 'Nebraska', lat: 41.2523634, lon: -95.99798827, pop: 408958 }, { city: 'Raleigh', state: 'North Carolina', lat: 35.772096, lon: -78.63861452, pop: 403892 }, { city: 'Miami', state: 'Florida', lat: 25.7889689, lon: -80.22643928, pop: 399457 }, { city: 'Cleveland', state: 'Ohio', lat: 41.4994954, lon: -81.6954088, pop: 396815 }, { city: 'Tulsa', state: 'Oklahoma', lat: 36.1539816, lon: -95.992775, pop: 391906 }, { city: 'Oakland', state: 'California', lat: 37.8043637, lon: -122.2711137, pop: 390724 }, { city: 'Minneapolis', state: 'Minnesota', lat: 44.983334, lon: -93.26666998, pop: 382578 }, { city: 'Wichita', state: 'Kansas', lat: 37.6922222, lon: -97.33722219, pop: 382368 }, { city: 'Arlington', state: 'Texas', lat: 32.735687, lon: -97.10806557, pop: 365438 }, { city: 'Bakersfield', state: 'California', lat: 35.3732921, lon: -119.01871249, pop: 347483 }, { city: 'New Orleans', state: 'Louisiana', lat: 29.95106579, lon: -90.0715323, pop: 343829 }, { city: 'Honolulu', state: 'Hawaii', lat: 21.3069444, lon: -157.85833333, pop: 337256 }, { city: 'Anaheim', state: 'California', lat: 33.8352932, lon: -117.91450359, pop: 336265 }, { city: 'Tampa', state: 'Florida', lat: 27.950575, lon: -82.45717762, pop: 335709 }, { city: 'Aurora', state: 'Colorado', lat: 39.7294319, lon: -104.83191953, pop: 325078 }, { city: 'Santa 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cases per 1000 people For US States.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":1681,"value":"legend({\n color: rateChoropleth_divergent[1],\n title: \"State Confirmed cases per Thousand\",\n ticks: 11,\n tickFormat: \".0s\"\n })","pinned":false,"hidden":false,"mode":"ojs"},{"id":1684,"value":"rateChoropleth_divergent[0]","pinned":false,"hidden":false,"mode":"ojs"},{"id":1214,"value":"html`

US Statewise Status

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World Countrywise Status

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{label:\"Cases\",value:\"cases\"},\n {label:\"Case Density\",value:\"caseDensity\"},\n {label:\"Cases Daily\",value:\"casesDaily\"},\n {label:\"Deaths\",value:\"deaths\"},\n {label:\"Death Density\",value:\"deathDensity\"},\n {label:\"Deaths Daily\",value:\"deathsDaily\"},\n {label:\"Fatality Rate\", value: \"fatalityRate\"}\n ],\n value: 'name'\n});\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1647,"value":"$34","pinned":false,"hidden":false,"mode":"ojs"},{"id":1198,"value":"html``","pinned":false,"hidden":false,"mode":"ojs"},{"id":739,"value":"usaConfirmed = Object.values(confirmed_n_death.USA.confirmed)","pinned":false,"hidden":false,"mode":"ojs"},{"id":743,"value":"usaDeaths = Object.values(confirmed_n_death.USA.deaths)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1044,"value":"confirmed_n_death[\"USA\"]","pinned":false,"hidden":false,"mode":"ojs"},{"id":771,"value":"indiaConfirmed = 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}","pinned":false,"hidden":false,"mode":"ojs"},{"id":380,"value":"$3a","pinned":false,"hidden":false,"mode":"ojs"},{"id":17,"value":"WIDTH = width","pinned":false,"hidden":false,"mode":"ojs"},{"id":20,"value":"HEIGHT = WIDTH/2","pinned":false,"hidden":false,"mode":"ojs"},{"id":223,"value":"margin ={ return {top: HEIGHT/10, right: HEIGHT/10, bottom: HEIGHT/20, left: HEIGHT/20};}","pinned":false,"hidden":false,"mode":"ojs"},{"id":229,"value":" Width = WIDTH - margin.left - margin.right","pinned":false,"hidden":false,"mode":"ojs"},{"id":232,"value":" Height = HEIGHT - margin.top - margin.bottom","pinned":false,"hidden":false,"mode":"ojs"},{"id":49,"value":"deathsData = d3.csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":79,"value":"dates = confirmedData.columns.slice(4)","pinned":false,"hidden":false,"mode":"ojs"},{"id":82,"value":"countryId = confirmedData.columns.slice(0,4);","pinned":false,"hidden":false,"mode":"ojs"},{"id":941,"value":"confirmedData = d3.csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":59,"value":"confirmed_n_death = {\n const data = {};\n \tlet confirmed = [];\n\t\tlet deaths = [];\n\t\tconfirmedData.forEach(\n\t\t\tfunction(d,i){\n\t\t\t\tlet cnt = d[countryId[1]];\n\t\t\t\tlet dd = deathsData[i];\n if (cnt == \"US\") cnt=\"USA\";\n else if (cnt == \"United Kingdom\") cnt=\"England\";\n\t\t\t\tif (data[cnt]){\n\t\t\t\t\tdates.forEach(function(e,i){\n\t\t\t\t\t\tdata[cnt].confirmed[i]+=+d[e];\n\t\t\t\t\t\tdata[cnt].deaths[i]+=+dd[e];\n\t\t\t\t\t});\n\t\t\t\t}\n else{\n confirmed = [];\n deaths = [];\n dates.forEach(\n function(e){\n confirmed.push(+d[e]);\n deaths.push(+dd[e]);\n }\n );\n data[cnt]={\n long_lat : [d.Long, d.Lat],\n confirmed : confirmed,\n deaths : deaths\n }\n }\n }\n )\n\t\treturn data;\n }","pinned":false,"hidden":false,"mode":"ojs"},{"id":112,"value":"dataExtent = {\n const c_maxs = [];\n\t const d_maxs = [];\n\t for (const prop in confirmed_n_death){\n\t\t\tconst e = confirmed_n_death[prop];\n\t\t\tc_maxs.push(d3.max(e.confirmed));\n\t\t\td_maxs.push(d3.max(e.deaths));\n\t }\n return {\n confirmed: [1, d3.max(c_maxs)],\n deaths: [0, d3.max(d_maxs)]\n }\n }","pinned":false,"hidden":false,"mode":"ojs"},{"id":344,"value":"$3b","pinned":false,"hidden":false,"mode":"ojs"},{"id":515,"value":"usDataWide = {\n let usData = {}\n usDataRaw.data.forEach(function(e){\n if (e.name!=\"Totals\" && e.name!=\"Repatriations\"){\n usData[e.name] = {};\n e.data.forEach(function(d){\n let date = d3.timeFormat(\"%m/%d/%y\")(d3.timeParse(\"%Y-%m-%d\")(d.date));\n usData[e.name][date] = {cases: d.cases, deaths: 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with{barChartDataByState as data, hBarChartMargin as margin} from \"@d3/horizontal-bar-chart\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":1853,"value":"hBarChartMargin = ({left:80, top:30, bottom:10, right:0})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1811,"value":"barChartWidth = 400","pinned":false,"hidden":false,"mode":"ojs"},{"id":1808,"value":"barChartHeight = 400","pinned":false,"hidden":false,"mode":"ojs"},{"id":1833,"value":"barChartDataByDivision = getUSCovidDataByCensus(\"Division\").map(d=>({name:d.Division,value:d.deaths})).sort((a, b) => d3.descending(a.value, b.value))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1860,"value":"barChartDataByState = getUSCovidDataByCensus(\"State\").map(d=>({name:d.State,value:d.deaths})).sort((a, b) => d3.descending(a.value, b.value)).filter(d=>d.value>1000)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1887,"value":"stackedBarChartDataByState = Object.assign(getUSCovidDataByCensus(\"State\").sort((a, b) => d3.descending(a.cases, b.cases)).filter(d=>d.deaths>5000).map(d=>({name:d.State,\"active+recovered\":d.cases-d.deaths, deaths:d.deaths, total:d.cases})),{columns: [\"name\", \"active+recovered\", \"deaths\"]})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1768,"value":"barChartDataByRegion = Object.assign(getUSCovidDataByCensus(\"Region\").map(d=>({name:d.Region,value:d.deaths})), { y: \"↑ Count\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1756,"value":"getUSCovidDataByCensus = function(variable) { \n //variable choices are \"Division\" or \"Region\" or \"State\"\n if (variable == \"Division\" || variable == \"Region\"){\n const data = {};\n const nest = d3.nest()\n .key(function(d) { return d[variable]; })\n .entries(regionData);\n\n return nest.map(function(d){\n const data = {};\n data[variable] = d.key;\n data.cases = 0;\n data.deaths = 0;\n d.values.forEach(function(d){\n const values = Object.values(usDataWide[d.State]);\n data.cases += values[values.length-1].cases;\n data.deaths += values[values.length-1].deaths;\n })\n return data;\n })\n } \n else if (variable == \"State\"){\n return regionData.map(function(d){\n const data = {};\n data[variable] = d.State;\n const values = Object.values(usDataWide[d.State]);\n data.cases = values[values.length-1].cases;\n data.deaths = values[values.length-1].deaths;\n return data;\n })\n }\n else return {};\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1753,"value":"regionData = d3.csv(\"https://raw.githubusercontent.com/cphalpert/census-regions/master/us%20census%20bureau%20regions%20and%20divisions.csv\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":1410,"value":"wPopData = {\n const data = {};\n worldPopulationData.forEach(function(d){let name = d.name; if (name==\"United States\") name = \"USA\"; data[name]=d.population*1000;});\n return data;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1400,"value":"worldPopulationData = d3.csvParse(await FileAttachment(\"worldPopulation2020.csv\").text());","pinned":false,"hidden":false,"mode":"ojs"},{"id":928,"value":"import {legend} from \"@d3/color-legend\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":1273,"value":"import {radio} from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":9,"value":"d3 = require.alias({'d3-selection': 'd3'})(\"d3@5\", \"d3-simple-slider@1\")","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W3c","stdlib":"1","titling":"auto"}