30:T598,html`

Economic Indicators

        Last refresh:  
        ${d3.timeFormat(
          "%X"
        )(d3.timeParse("%Q")(Date.now()))}
      

This is a collection of the most important indicators from across the world. It offers color on meaningful trends and subjective insight into the expansion and contraction cycles of today's interconnected markets.

${Object.entries(RegionalData).map((region) => { return html`

${region[0]}

${region[1].map((indicator) => { return html`

${GenerateInfo(indicator)}

${GenerateLineChart(indicator)}

`; })} `; })}

`31:T9f3,html` `32:T4a8,callout = (g, indicator, value, date) => { if (!value) return g.style("display", "none"); g.style("display", null) .style("pointer-events", "none") .style("font", "10px sans-serif"); const path = g .selectAll("path") .data([null]) .join("path") .attr("fill", "white") .attr("stroke", "black") .attr('opacity', 0.7) let data = ["tooltip-value", "tooltip-name", "tooltip-date"]; const text = g .selectAll("text") .data([null]) .join("text") .call(text => text .selectAll("tspan") .data([value, indicator, date]) .join("tspan") .attr('class', (d, i) => data[i]) .attr("x", 0) .attr("y", (d, i) => `${(i + 1) * 1.5}rem`) .attr('font-size', (d, i) => { return i === 0 ? '1.5rem' : '0.8rem'; }) .style("font-weight", (_, i) => (i ? null : "bold")) .text(d => d) ); const { x, y, width: w, height: h } = svgBBox(text.node()); //text.node().getBBox(); // mutable tooltip = text.attr("transform", `translate(${-w / 2},${15 - y})`); path.attr( "d", `M${-w / 2 - 10},5H-5l5,-5l5,5H${w / 2 + 10}v${h + 20}h-${w + 20}z` ); }33:T859,GenerateLineChart = (indicator) => { let data = [...indicator.history["PX_LAST"]].map((x) => { let obj = {}; obj.date = d3.timeParse("%Y-%m-%d")(x.date); obj.value = +x.value; return obj; }); let indicatorName = MetaInfo.filter( (x) => indicator.ticker === x.tickerID + " Index" )[0]; let svgRef = DOM.svg(chartWidth, height); let svg = d3 .select(svgRef) // .style('border', '6px double ' + d3.lab(46, 74, 83)) // .attr('viewBox', `${0},${0},${chartWidth},${height}`) .attr("id", DOM.uid(indicator.ticker.split(" ")[0])); let xScale = d3 .scaleUtc() .domain(d3.extent(data, (d) => d.date)) .range([margin.left, chartWidth - margin.right]); let yScale = d3 .scaleLinear() .domain(d3.extent(data, (d) => d.value)) .nice() .range([height - margin.bottom, margin.top]); let line = d3 .line() .curve(d3[curveSelection]) .defined((d) => !isNaN(d.value)) .x((d) => xScale(d.date)) .y((d) => yScale(d.value)); svg.append("g").call((g) => xAxis(xScale, g)); svg.append("g").call((g) => yAxis(data, yScale, g)); const path = svg .append("g") .attr("fill", "none") .attr("stroke", "steelblue") .attr("stroke-width", 1.5) .attr("stroke-linejoin", "round") .attr("stroke-linecap", "round") .append("path") .datum(data) .join("path") .style("mix-blend-mode", "multiply") .attr("d", line); const tooltip = svg.append("g"); function bisect(mx) { const bisect = d3.bisector((d) => d.date).left; const date = xScale.invert(mx); const index = bisect(data, date, 1); const a = data[index - 1]; const b = data[index]; return date - a.date > b.date - date ? b : a; } svg.on("touchmove mousemove", function () { const { date, value } = bisect(d3.mouse(this)[0]); tooltip .attr("transform", `translate(${xScale(date)},${yScale(value)})`) .call( callout, indicatorName.heading, value, d3.timeFormat("%b. %Y")(date) ); }); svg.on("touchend mouseleave", () => tooltip.call(callout, null)); return svgRef; }34:T6fc,GenerateInfo = data => { let indicator = data.ticker; let recentVal = d3.greatest(data.history.PX_LAST, d => d.date); let indexUnits, quoteUnits; let symbol = ''; let direction = ""; let before, after = ""; if (data.reference.INDX_UNITS === 'Value') { after = data.reference.QUOTE_UNITS === undefined ? '' : data.reference.QUOTE_UNITS.toLowerCase(); symbol = 'zero'; if (+recentVal.value > 1000) { after = 'billions'; } } else if (data.reference.INDX_UNITS === 'Percent') { after = data.reference.QUOTE_UNITS === 'Points' ? 'points' : 'pct'; } else if (data.reference.INDX_UNITS === 'Rate') { after = data.reference.QUOTE_UNITS === '% CHANGE' ? 'pct_change' : 'pct'; if (after === 'pct_change') direction = +recentVal.value > 0 ? 'up' : 'down'; } // let isPoint = let lastDate = data.reference.ECO_FUTURE_RELEASE_DATE_LIST.map( x => new Date(x['Release Dates & Times']) ) .sort((a, b) => b - a) .find(d => d < new Date()); let infoObj = MetaInfo.filter(x => indicator === x.tickerID + ' Index')[0]; return html`

${ recentVal.value }

${infoObj.heading}

${infoObj.description} (${ data.reference.INDX_FREQ })

_Last: ${lastNextDTFormatter( lastDate )} ^Next: ${lastNextDTFormatter( new Date(data.reference.ECO_FUTURE_RELEASE_DATE) )}

`; }35:Ta87,Info = [ [ "49.4", "MPMIGLMA", "IHS Markit and JPMorgan Chase’s snapshot of the health of manufacturing around the world, based on surveys of multiple purchasing managers on their activity. A number above 50 signals expansion.", "Updates monthly Last July 1, 2019", "" ], [ "+224K", "NFP TCH", "A measure of how tight the labor market is running in the world’s biggest economy.", "Updates monthly Last July 5, 2019", "" ], [ "+0.4%", "PCE CRCH", "The U.S. consumer is typically one of the pillars of the world economy and this shows how they are faring.", "Updates monthly Last June 28, 2019", "" ], [ "+1.5%", "PCE DEFY", "The Federal Reserve’s preferred measure of inflation.", "Updates monthly Last June 28, 2019", "" ], [ "+0.46%", "BZGDYOY%", "A proxy for commodity exporters throughout the world.", "Updates quarterly Last May 30, 2019", "" ], [ "$2.63B", "CMINCOPR", "Chile’s copper output. From autos to TV sets to high-tech wiring everywhere needs copper and the Andean nation is the world’s largest producer. If demand is strong, the world economy is likely to be too.", "Updates monthly Last July 8, 2019", "" ], [ "+1.3%", "ECCPEMUY", "A gauge of inflation in the euro area and the main measure watched by the European Central Bank.", "Updates monthly Last July 17, 2019", "" ], [ "97.5", "GRIFPBUS", "The leading indicator of health in the euro area’s lynchpin economy, it is based on a survery of about 7,000 executives in German manufacturing, services, retail, wholesale and construction companies. The aim is to guage their assessment of how the economy stands and their outlook for it.", "Updates monthly Last July 25, 2019", "" ], [ "+49.4%", "CPMINDX", "China is the largest manufacturer of autos, smartphones and other goods the world over so this index provides a key insight into the heart of global production.", "Updates monthly Last June 29, 2019", "" ], [ "0.0%", "CHEFTYOY", "How much companies are charging at the factory gate in China provides a glimpse into global inflation trends.", "Updates monthly Last July 9, 2019", "" ], [ "+0.6%", "JNCPIXFF", "A measure of price pressures and test of how long the world’s most audacious monetary experiment continues.", "Updates monthly Last July 18, 2019", "" ], [ "−13.5%", "KOEXTOTY", "An insight into demand for one of Asia’s key exporters especially of technology.", "Updates monthly Last June 30, 2019", "" ] ]36:T1392,curveTypes = [ { name: 'curveLinear', curve: d3.curveLinear, active: true, lineString: '', clear: false, info: 'Interpolates the points using linear segments.' }, { name: 'curveBasis', curve: d3.curveBasis, active: true, lineString: '', clear: true, info: 'Interpolates the start and end points and approximates the inner points using a B-spline.' }, { name: 'curveBasisClosed', curve: d3.curveBasisClosed, active: false, lineString: '', clear: false, info: 'Uses a closed B-Spline to approximate the points.' }, { name: 'curveBundle (ß=0)', curve: d3.curveBundle.beta(0), active: false, lineString: '', clear: true, info: 'Same as curveBasis with the addition of a paramter ß which determines how close to a straight line the curve is. If ß=0 the curve is straight.' }, { name: 'curveBundle (ß=0.5)', curve: d3.curveBundle.beta(0.5), active: false, lineString: '', clear: false, info: 'Same as curveBasis with the addition of a paramter ß which determines how close to a straight line the curve is.' }, { name: 'curveBundle (ß=1)', curve: d3.curveBundle.beta(1), active: false, lineString: '', clear: false, info: 'Same as curveBasis with the addition of a paramter ß which determines how close to a straight line the curve is. If ß=1 the curve is the same as curveBasis.' }, { name: 'curveCardinal (tension=0)', curve: d3.curveCardinal.tension(0), active: false, lineString: '', clear: true, info: "Interpolates the points using a cubic B-spline. A tension parameter determines how 'taut' the curve is. As tension approaches 1 the segments become linear." }, { name: 'curveCardinal (tension=0.5)', curve: d3.curveCardinal.tension(0.5), active: false, lineString: '', clear: false, info: "Interpolates the points using a cubic B-spline. A tension parameter determines how 'taut' the curve is. As tension approaches 1 the segments become linear." }, { name: 'curveCardinal (tension=1)', curve: d3.curveCardinal.tension(1), active: false, lineString: '', clear: false, info: "Interpolates the points using a cubic B-spline. A tension parameter determines how 'taut' the curve is. As tension approaches 1 the segments become linear." }, { name: 'curveCatmullRom (α=0)', curve: d3.curveCatmullRom.alpha(0), active: false, lineString: '', clear: true, info: 'Similar to curveCardinal (tension=0) but with a parameter α that determines the parameterisation used to interpolate the points. If α=0 the parameterisation is uniform.' }, { name: 'curveCatmullRom (α=0.5)', curve: d3.curveCatmullRom.alpha(0.5), active: false, lineString: '', clear: false, info: 'Similar to curveCardinal (tension=0) but with a parameter α that determines the parameterisation used to interpolate the points. If α=0.5 the parameterisation is centripetal and self intersecting loops are avoided.' }, { name: 'curveCatmullRom (α=1)', curve: d3.curveCatmullRom.alpha(1), active: false, lineString: '', clear: false, info: 'Similar to curveCardinal (tension=0) but with a parameter α that determines the parameterisation used to interpolate the points. If α=1 the parameterisation is chordal.' }, { name: 'curveMonotoneX', curve: d3.curveMonotoneX, active: false, lineString: '', clear: true, info: 'Interpolates the points with a cubic spline which are monotonic (i.e. always increasing or always decreasing) in y.' }, { name: 'curveMonotoneY', curve: d3.curveMonotoneY, active: false, lineString: '', clear: false, info: 'Interpolates the points with a cubic spline which are monotonic (i.e. always increasing or always decreasing) in x.' }, { name: 'curveNatural', curve: d3.curveNatural, active: false, lineString: '', clear: true, info: 'Interpolates the points with a cubic spline with zero 2nd derivatives at the endpoints.' }, { name: 'curveStep', curve: d3.curveStep, active: false, lineString: '', clear: true, info: 'Interpolates the points with alternating horizontal and vertical linear segments. The vertical segments lie midway between points.' }, { name: 'curveStepAfter', curve: d3.curveStepAfter, active: false, lineString: '', clear: false, info: 'Interpolates the points with alternating horizontal and vertical linear segments. The y value changes after the x value.' }, { name: 'curveStepBefore', curve: d3.curveStepBefore, active: false, lineString: '', clear: false, info: 'Interpolates the points with alternating horizontal and vertical linear segments. The y value changes before the x value.' } ]37:[{"id":"9ee095cf7f237c437364181f925adffdd9b3371a4c60c0e7ee1d59ab3e0ccdfd36ec3bf8a78d05b030d897bf8ef40771e0b309b6a70db2ab1c97a1d4cf0bc413","href":"https://static.observableusercontent.com/files/9ee095cf7f237c437364181f925adffdd9b3371a4c60c0e7ee1d59ab3e0ccdfd36ec3bf8a78d05b030d897bf8ef40771e0b309b6a70db2ab1c97a1d4cf0bc413","name":"bloomberg-2024-09-21-data.json","type":"application/json","lastModified":1726959526363.006,"size":90507},{"id":"e98b784160ef41fc624133af97a255e39f9e7bc30954c771b3fe3496dbf1d01701146e24e99f19f6b9c8ce61302b9c971506daa7c3982ef248c70d27117a16f7","href":"https://static.observableusercontent.com/files/e98b784160ef41fc624133af97a255e39f9e7bc30954c771b3fe3496dbf1d01701146e24e99f19f6b9c8ce61302b9c971506daa7c3982ef248c70d27117a16f7","name":"economic-data-2021-12-27.json","type":"application/json","lastModified":1640637197526.282,"size":84118},{"id":"1eccfa18d2db725c6376fbbbd3faa8a5975f42509aa43cdc7767d5959b0bb6bb08a3097ece8920fbfffa214f4e1556618aae95e8a870bfb5d21265a968938d1b","href":"https://static.observableusercontent.com/files/1eccfa18d2db725c6376fbbbd3faa8a5975f42509aa43cdc7767d5959b0bb6bb08a3097ece8920fbfffa214f4e1556618aae95e8a870bfb5d21265a968938d1b","name":"economic-data-2023-11-21.json","type":"application/json","lastModified":1700576247975.373,"size":89780},{"id":"d6a1810567a489c8f53fc87116be1319944643d9928dd1c207265e15757361158c16f64dbcf6ca7bb6d5984e9f55156d38805f9cb2f78799830a4907bcecdf3c","href":"https://static.observableusercontent.com/files/d6a1810567a489c8f53fc87116be1319944643d9928dd1c207265e15757361158c16f64dbcf6ca7bb6d5984e9f55156d38805f9cb2f78799830a4907bcecdf3c","name":"IndicatorData.json","type":"application/json","lastModified":1573748950515.642,"size":72069},{"id":"bfe5aeeb30ade8d38bad805de24af63c0610d5683dd78baaab32440a42b16a6737486d8e238629db69eae45f6e9fdb815bcd7cd010c8a6ce5a5e89b7e8c13075","href":"https://static.observableusercontent.com/files/bfe5aeeb30ade8d38bad805de24af63c0610d5683dd78baaab32440a42b16a6737486d8e238629db69eae45f6e9fdb815bcd7cd010c8a6ce5a5e89b7e8c13075","name":"economic_data.json","type":"application/json","lastModified":1582680951044.124,"size":70255},{"id":"3bd8064f302a4d93411b8a58b606c18dd2d2760cfff96f5675b505579188772e39dde1b13924c1c46ada82c3bfba63f658c673c819478b6ac14bed19d89afb6b","href":"https://static.observableusercontent.com/files/3bd8064f302a4d93411b8a58b606c18dd2d2760cfff96f5675b505579188772e39dde1b13924c1c46ada82c3bfba63f658c673c819478b6ac14bed19d89afb6b","name":"economic-data-2021-05-01.json","type":"application/json","lastModified":1619932103774.904,"size":76114}] 2e:{"title":"Economic Indicators","cells":[{"id":0,"value":"$30","pinned":false,"hidden":false,"mode":"ojs"},{"id":2444,"value":"viewof curveSelection = select({\n options: curveTypes.map(x => x.name),\n value: 'curveStep'\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":47,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":1588,"value":"md`## Utility Functions`","pinned":true,"hidden":false,"mode":"ojs"},{"id":9,"value":"xAxis = (x, g) =>\n g.attr(\"transform\", `translate(0,${height - margin.bottom})`).call(\n d3\n .axisBottom(x)\n .ticks(5)\n .tickSizeOuter(10)\n )","pinned":true,"hidden":false,"mode":"ojs"},{"id":6,"value":"yAxis = (data, y, g) =>\n g\n .attr(\"transform\", `translate(${chartWidth - margin.right},0)`)\n .call(\n d3\n .axisRight(y)\n .ticks(5)\n .tickSize(15)\n )\n .call(g => g.select(\".domain\").remove())\n .call(g =>\n g\n .selectAll(\".tick text\")\n .attr(\"transform\", `translate(${-15},-5)`)\n .attr('text-anchor', 'center')\n )\n .call(g =>\n g\n .selectAll(\".tick line\")\n\n .attr('transform', `translate(${15 / 2},0)`)\n .attr('stroke', 'black')\n .attr('x1', function() {\n return +d3.select(this).data() === 0\n ? -chartWidth + margin.right\n : -15;\n })\n .attr('stroke', 'silver')\n )\n\n .call(g =>\n g\n .select(\".tick:first-of-type line\")\n .clone()\n .attr(\"x\", 3)\n .attr(\"text-anchor\", \"start\")\n .attr(\"font-weight\", \"bold\")\n .text('value')\n )","pinned":true,"hidden":false,"mode":"ojs"},{"id":4,"value":"$32","pinned":true,"hidden":false,"mode":"ojs"},{"id":2157,"value":"chartWidth = Math.max(400, width / 2)","pinned":true,"hidden":false,"mode":"ojs"},{"id":11,"value":"$33","pinned":true,"hidden":false,"mode":"ojs"},{"id":564,"value":"$34","pinned":true,"hidden":false,"mode":"ojs"},{"id":1232,"value":"lastNextDTFormatter = d3.timeFormat('%b %d, %Y')","pinned":true,"hidden":false,"mode":"ojs"},{"id":1477,"value":"//////////////////////SHAPE OF DATA///////////////\n/*\n ticker: \"PCE CRCH Index\"\n history: \n \n\n Object {PX_LAST: Array(141)}\n reference: \n \n\n Object {\n INDX_UNITS: \"Rate\"\n SOURCE_NAME: \"Bureau of Economic Analysis\"\n INDX_FREQ: \"Monthly\"\n ECO_FUTURE_RELEASE_DATE_LIST: \n \n\n Array(36) [Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, …]\n ECO_FUTURE_RELEASE_DATE: \"2019/11/27 10:00:00\"\n PX_DISP_FORMAT_MAX_NUM_DEC: 1\n REGION_OR_COUNTRY: \"United States\"\n QUOTE_UNITS: \"% CHANGE\"\n}\n lastReleaseDate: \"2019-10-31T12:30:00Z\"\n \n */","pinned":true,"hidden":false,"mode":"ojs"},{"id":1617,"value":"md`---\n### Data Exploration and Wrangling (Rough-Work/Play)\n\n`","pinned":true,"hidden":false,"mode":"ojs"},{"id":1483,"value":"d3.groups(\n FileData.data,\n d => d.reference.INDX_UNITS,\n d => d.reference.QUOTE_UNITS\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":3154,"value":"md`---\n## Different kinds of units`","pinned":true,"hidden":false,"mode":"ojs"},{"id":1486,"value":"d3.groups(FileData.data, d => d.reference.QUOTE_UNITS)","pinned":true,"hidden":false,"mode":"ojs"},{"id":3160,"value":"md`---\n## Regions`","pinned":true,"hidden":false,"mode":"ojs"},{"id":1479,"value":"d3.groups(FileData.data, d => d.reference.REGION_OR_COUNTRY)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1471,"value":"Euro[0]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1475,"value":"US[1]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1031,"value":"$35","pinned":true,"hidden":false,"mode":"ojs"},{"id":1029,"value":"Heading = [\n \"Global\",\n \"Global PMI\",\n \"U.S.\",\n \"U.S. employment\",\n \"U.S. consumer spending\",\n \"U.S. personal consumption expenditures\",\n \"Latin America\",\n \"Brazil GDP\",\n \"Chile copper exports\",\n \"Europe\",\n \"Euro-area inflation\",\n \"German Ifo\",\n \"Asia\",\n \"China manufacturing PMI\",\n \"China PPI\",\n \"Japan inflation\",\n \"South Korea exports\"\n]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1037,"value":"region_headings = d3.permute(Heading, [0, 2, 6, 9, 12])","pinned":true,"hidden":false,"mode":"ojs"},{"id":1039,"value":"indicator_headings = Heading.filter(x => !region_headings.includes(x))","pinned":true,"hidden":false,"mode":"ojs"},{"id":1047,"value":"MetaInfo = d3.zip(Info, indicator_headings).map(x => {\n let obj = {};\n obj.heading = x[1];\n obj.tickerID = x[0][1];\n obj.change = x[0][0];\n obj.description = x[0][2];\n obj.lastUpdate = x[0][3];\n return obj;\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":1003,"value":"getPerformance = data =>\n d3.pairs(data, ({ value: previous }, { date, value }) => {\n return { date, value: (+close - +previous) / +previous };\n })","pinned":true,"hidden":false,"mode":"ojs"},{"id":890,"value":"{\n let data = Euro[0].history.PX_LAST;\n let latestData = data[data.length - 1].value;\n let previousData = data[data.length - 2].value;\n return previousData - latestData / previousData;\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":634,"value":"Arrow = direction => {\n return (\n d3\n .select(DOM.svg(50, 50))\n .attr('width', width / 3)\n .attr('height', width / 6)\n .attr('preserveAspectRatio', \"xMinYMax slice\")\n\n .attr('viewBox', [0, 0, 50, 25])\n\n // .style('border', '1px black solid')\n .call(g => {\n g.append('path')\n .attr('d', function() {\n return direction === '+'\n ? 'M25 0L50 25L50 25L0 25Z'\n : 'M0 25L25 0L50 24L0 25Z';\n })\n // .attr('stroke', 'black')\n .attr('stroke-width', 1)\n // .attr('stroke-miterlimit', '3')\n\n .attr('fill', () => (direction === '+' ? '#00C88A' : '#FF415F'));\n })\n .node()\n );\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":2545,"value":"GenerateHorizontalDivider = () => {\n return html``;\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":347,"value":"md`## DATA`","pinned":true,"hidden":false,"mode":"ojs"},{"id":2797,"value":"md`data source: [bloomberg](https://www.bloomberg.com/bbg-gfx/graphics-data/economic-indicators/master/data.json)`","pinned":true,"hidden":false,"mode":"ojs"},{"id":215,"value":"RegionalData = ({\n Global: [Global],\n Asia: Asia,\n 'U.S.A.': US,\n 'Latin America': SouthAmerica,\n 'Euro Zone': Euro\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":54,"value":"Global = FileData.data[0]","pinned":true,"hidden":false,"mode":"ojs"},{"id":190,"value":"Asia =[1, 2, 3, 4].map(x => FileData.data[x])","pinned":true,"hidden":false,"mode":"ojs"},{"id":3216,"value":"d3.transpose(FileData.data, [1, 2, 3])","pinned":true,"hidden":false,"mode":"ojs"},{"id":167,"value":"US = [5, 6, 7].map(x => FileData.data[x])","pinned":true,"hidden":false,"mode":"ojs"},{"id":178,"value":"SouthAmerica=[8,9].map(x => FileData.data[x])","pinned":true,"hidden":false,"mode":"ojs"},{"id":182,"value":"Euro = [10, 11].map(x => FileData.data[x])","pinned":true,"hidden":false,"mode":"ojs"},{"id":19,"value":"FileData = economicData20240921 //FileAttachment(\"12-economic-indicators-data-2022-July-25.json\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":1595,"value":"md`## Configs`","pinned":true,"hidden":false,"mode":"ojs"},{"id":317,"value":"height = 300","pinned":true,"hidden":false,"mode":"ojs"},{"id":25,"value":"margin = ({ top: 20, right: 50, bottom: 25, left: 20 })","pinned":true,"hidden":false,"mode":"ojs"},{"id":1591,"value":"md`## ANX`","pinned":true,"hidden":false,"mode":"ojs"},{"id":2819,"value":"import { soFetch } from '@alecglassford/so-fetch'","pinned":true,"hidden":false,"mode":"ojs"},{"id":2453,"value":"import { select } from '@jashkenas/inputs'","pinned":true,"hidden":false,"mode":"ojs"},{"id":2345,"value":"//https://stackoverflow.com/a/34807547\n\nfunction svgBBox(svgEl) {\n let tempDiv = document.createElement('div');\n tempDiv.setAttribute(\n 'style',\n \"position:absolute; visibility:hidden; width:0; height:0\"\n );\n document.body.appendChild(tempDiv);\n let tempSvg = document.createElementNS(\"http://www.w3.org/2000/svg\", 'svg');\n tempDiv.appendChild(tempSvg);\n let tempEl = svgEl.cloneNode(true);\n tempSvg.appendChild(tempEl);\n let bb = tempEl.getBBox();\n document.body.removeChild(tempDiv);\n return bb;\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":2439,"value":"$36","pinned":true,"hidden":false,"mode":"ojs"},{"id":21,"value":"d3 = require(\"d3-array@2\", 'd3@5')","pinned":true,"hidden":false,"mode":"ojs"},{"id":1104,"value":"// GenerateInfo(RegionalData['U.S.A.'][2])","pinned":true,"hidden":false,"mode":"ojs"},{"id":3239,"value":"// economicData20231121 = FileAttachment(\"economic-data-2023-11-21.json\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":3241,"value":"economicData20240921 = FileAttachment(\"bloomberg-2024-09-21-data.json\").json()","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W37","stdlib":"1","titling":"auto"}