30:T6d0,title = htl.html`

WIFO-Konjunkturampel zeigt "${farbeAktuell}"

Die Ergebnisse des WIFO-Konjunkturtests vom ${monat} ${jahr} zeigen eine ${econclimateDiff > 0 ? "Verbesserung" : "Verschlechterung"} der unternehmerischen Konjunktureinschätzungen, die weiterhin mehrheitlich ${econclimate > 0 ? "optimistisch" : "pessimistisch"} ausfallen. Der WIFO-Konjunkturklimaindex notierte mit ${econclimate.toString().replace(".", ",")} Punkten (saisonbereinigt) um ${econclimateDiff.toString().replace(".", ",")} Punkte ${econclimateDiff > 0 ? "über" : "unter"} dem Wert des Vormonats (${econclimateLag.toString().replace(".", ",")} Punkte). Die gesamtwirtschaftlichen Lagebeurteilungen ${aktuellDiff > 1 ? "verbesserten sich" : aktuellDiff < -1 ? "verschlechterten sich" : "stagnierten"} (${aktuellDiff.toString().replace(".", ",")} Punkte) und blieben mit ${aktuell.toString().replace(".", ",")} Punkten unter der Nulllinie. Die Konjunkturerwartungen ${erwartetDiff > 0 ? "verbesserten" : "verschlechterten"} sich (${erwartetDiff.toString().replace(".", ",")} Punkte) und notierten mit ${erwartet.toString().replace(".", ",")} Punkten im ${erwartet > 0 ? "positiven" : "negativem"} Bereich. Das ${econclimateDiff > 0 ? "opimistische" : "skeptische"} Konjunkturbild wird nach wie vor von der schwachen Industriekonjunktur bestimmt. Die WIFO-Konjunkturampel zeigt "${farbeAktuell}" und signalisiert damit eine ${econclimateDiff > 0 ? "Verbesserung" : "Verschlechterung"} der unternehmerischen Konjunktureinschätzungen.

PDF-Download `31:T661,title_en = htl.html`

WIFO Economic Barometer Shows "${farbeAktuell}"

The results of the WIFO Economic Survey from ${monat} ${jahr} indicate a ${econclimateDiff > 0 ? "improvement" : "deterioration"} in business economic assessments, which remain predominantly ${econclimate > 0 ? "optimistic" : "pessimistic"}. The WIFO Economic Climate Index recorded ${econclimate.toString().replace(".", ",")} points (seasonally adjusted), which is ${econclimateDiff.toString().replace(".", ",")} points ${econclimateDiff > 0 ? "above" : "below"} the previous month's value (${econclimateLag.toString().replace(".", ",")} points). Overall economic assessments ${aktuellDiff > 1 ? "improved" : aktuellDiff < -1 ? "deteriorated" : "stagnated"} (${aktuellDiff.toString().replace(".", ",")} points) and remained below the zero line at ${aktuell.toString().replace(".", ",")} points. Economic expectations ${erwartetDiff > 0 ? "improved" : "deteriorated"} (${erwartetDiff.toString().replace(".", ",")} points) and recorded ${erwartet.toString().replace(".", ",")} points in the ${erwartet > 0 ? "positive" : "negative"} range. The ${econclimateDiff > 0 ? "optimistic" : "skeptical"} economic outlook continues to be influenced by the weak industrial economy. The WIFO Economic Barometer shows "${farbeAktuell}" and thus signals a ${econclimateDiff > 0 ? "improvement" : "deterioration"} in business economic assessments.

PDF Download `32:T4b9,bars = vl.markRect({ strokeWidth: 0, stroke: "black", opacity: 1, clip: true, }) .params(brush) .transform( vl.window(vl.lag("date15").as("dateLag")).frame([-1,0]), ) .encode( vl.x() .fieldT("date15") .axis({ title: null, format: "%b %y", grid: false, }), vl.x2() .fieldT("dateLag"), vl.fill() .fieldN("ampelColor") .scale({ range: ["#72bb6f", "#f3d039", "#c3423f"], domain: ["Grün", "Gelb", "Rot"], }) .legend({ padding: 6, title: null, // "Prognostizierte Entwicklung", titleOffset: 10, symbolOffset: 16, labelOffset: 4, symbolStrokeWidth: 0, symbolOpacity: 1, orient: "none", legendX: -70, legendY: -40, direction: "horizontal", labelExpr: "{'Grün': 'Grün: Verbesserung', 'Gelb': 'Gelb: Indifferenzbereich', 'Rot': 'Rot: Verschlechterung'}[datum.value]" }), vl.opacity() .if(brush, 0.2) .value(0.5), vl.tooltip([ {field: "econclimate", title: "Index", format: ",.1~f" }, {field: "date", type: "temporal", title: "Monat", format: "%b %Y" } ]) )33:T594,config = ({ mark: { tooltip: null }, view: {stroke: null}, font: "FFDaxPro", background: "transparent", fontSize: 14, concat: { spacing: 20 }, title: { offset: 0, fontSize: 16, subtitleFontSize: 14, }, axis: { labelFontSize: 14, titleFontSize: 14, titleFontWeight: "normal", }, legend: { labelFontSize: 14, titleFontSize: 14, titleFontWeight: "normal", }, mark: { fontSize: 14 }, locale: { number: { decimal: ",", thousands: ".", grouping: [3] }, time: { dateTime: "%A %e %B %Y, %X", date: "%d/%m/%Y", time: "%H:%M:%S", periods: ["AM", "PM"], days: [ "Montag", "Dienstag", "Mittwoch", "Donnerstag", "Freitag", "Samstag", "Sonntag" ], shortDays: [ "Mo", "Di", "Mi", "Do", "Fr", "Sa", "So" ], months: [ "Jänner", "Februar", "März", "April", "Mai", "Juni", "Juli", "August", "September", "Oktober", "November", "Dezember" ], shortMonths: [ "Jän", "Feb", "Mrz", "Apr", "Mai", "Jun", "Jul", "Aug", "Sep", "Okt", "Nov", "Dez" ] } }, })34:[] 2e:{"title":"Konjunkturampel","cells":[{"id":0,"value":"# Konjunkturampel\n## Entwicklung des Wirtschaftsklimaindex","pinned":false,"hidden":false,"mode":"md"},{"id":846,"value":"$30","pinned":false,"hidden":false,"mode":"ojs"},{"id":1503,"value":"timeLabel = htl.html` ${d3.timeFormat(formatDate(d3.timeMonth.offset(start, slider[0])))} ⟶ ${formatDate(d3.timeMonth.offset(start, slider[1] +1))} `","pinned":false,"hidden":false,"mode":"ojs"},{"id":1495,"value":"viewof slider = rangeSlider({\n min: 0,\n max: d3.timeMonth.count(start, end - 1),\n step: 1,\n format: d => formatDate(d3.timeMonth.offset(start, d)),\n value: [\n d3.timeMonth.count(start, end) - 36, \n d3.timeMonth.count(start, end)\n ],\n width: makeWidth(width) * 1.2,\n title: \"\",\n separator: \" → \",\n color: \"#2d5b5e\",\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":150,"value":"view = vl.hconcat(\n vl.layer(\n bars,\n lines,\n quantiles,\n heatmap\n ) \n .width(makeWidth(width))\n .height(300),\n vl.layer(\n boxplot,\n dummyLayer1,\n dummyLayer2,\n dummyLayer3,\n dummyLayer4,\n points,\n )\n .width(50),\n )\n .data(data)\n .config(config)\n .render({ renderer: \"svg\" })","pinned":false,"hidden":false,"mode":"ojs"},{"id":36,"value":"---\n# Appendix","pinned":false,"hidden":false,"mode":"md"},{"id":1493,"value":"formatDateYMD = {\n const locale = await d3.json(\"https://cdn.jsdelivr.net/npm/d3-time-format@4/locale/de-DE.json\");\n d3.timeFormatDefaultLocale(locale);\n return d3.timeFormat(\"%Y-%m-%d\")\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1491,"value":"formatDate = {\n const locale = await d3.json(\"https://cdn.jsdelivr.net/npm/d3-time-format@4/locale/de-DE.json\");\n d3.timeFormatDefaultLocale(locale);\n return d3.timeFormat(\"%b %Y\")\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1512,"value":"timeStartPlusOne = parseDate(formatDateYMD(d3.timeMonth.offset(start, slider[0] + 1)))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1489,"value":"timeStartMinusOne = parseDate(formatDateYMD(d3.timeMonth.offset(start, slider[0] - 2)))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1487,"value":"timeEndPlusOne = parseDate(formatDateYMD(d3.timeMonth.offset(start, slider[1] + 2)))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1485,"value":"timeStart = parseDate(formatDateYMD(d3.timeMonth.offset(start, slider[0] - 1)))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1483,"value":"timeEnd = parseDate(formatDateYMD(d3.timeMonth.offset(start, slider[1] + 1)))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1481,"value":"end = parseDate(inputData.map(d => d.date)[[inputData.map(d => d.date).length - 1]].substring(0, 10))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1479,"value":"start = parseDate(inputData.map(d => d.date)[0].substring(0, 10))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1477,"value":"parseDate = d3.timeParse(\"%Y-%m-%d\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":1449,"value":"dummyLayer4 = vl.markPoint({\n fill: \"transparent\",\n stroke: \"transparent\",\n shape: \"square\",\n size: 5500,\n yOffset: -110\n})\n.encode(\n vl.tooltip([\n null\n ]),\n )\n.data(data)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1447,"value":"dummyLayer3 = vl.markPoint({\n fill: \"transparent\",\n stroke: \"transparent\",\n shape: \"square\",\n size: 5500,\n yOffset: -35\n})\n.encode(\n vl.tooltip([\n null\n ]),\n )\n.data(data)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1445,"value":"dummyLayer2 = vl.markPoint({\n fill: \"transparent\",\n stroke: \"transparent\",\n shape: \"square\",\n size: 5500,\n yOffset: 35\n})\n.encode(\n vl.tooltip([\n null\n ]),\n )\n.data(data)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1443,"value":"dummyLayer1 = vl.markPoint({\n fill: \"transparent\",\n stroke: \"transparent\",\n shape: \"square\",\n size: 5500,\n yOffset: 110\n})\n.encode(\n vl.tooltip([\n null\n ]),\n )\n.data(data)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1413,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":57,"value":"data = inputData\n .map(d => ({...d , ampelColor: \n d.ampel >= 0.66 ? \n \"Grün\" :\n d.ampel >= 0.33 ?\n \"Gelb\" :\n \"Rot\"\n }))\n .map(d => ({...d , ampelHex: \n d.ampel >= 0.66 ? \n \"#72bb6f\" :\n d.ampel >= 0.33 ?\n \"#f3d039\" :\n \"#c3423f\"\n }))\n .map(d => ({...d , date: d.date.substr(0, 10)}))\n .map(d => ({...d , date15: d.date.substr(0, 8) + \"15\"}))\n .map(d => ({...d , month: parseDate(d.date.substring(0, 10))}))\n .map(d => ({...d , econclimate: +d.econclimate}))\n .filter(d => slider[0] == slider[1] ? d.month >= timeStartMinusOne: d.month >= timeStartMinusOne)\n .filter(d => slider[0] == slider[1] ? d.month <= timeEndPlusOne : d.month <= timeEnd)\n // .filter(d => d.date.substr(0,4) >= range[0])\n // .filter(d => d.date.substr(0,4) <= range[1])\n .map(d => ({...d , zero: -20}))","pinned":false,"hidden":false,"mode":"ojs"},{"id":12,"value":"import {vl as vl} from \"@vega/vega-lite-api-v5\" ","pinned":false,"hidden":false,"mode":"ojs"},{"id":281,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":187,"value":"brush = vl.selectPoint(\"brush\")\n .encodings(\"x\")\n .on(\"mouseover\")\n .nearest(true)\n .value([\"\"])","pinned":false,"hidden":false,"mode":"ojs"},{"id":543,"value":"quantiles = vl.markRule({\n strokeDash: [5, 5]\n})\n .encode(\n vl.y()\n .fieldQ(\"quantile\")\n )\n .data([\n {quantile: d3.quantile(data.map(d => d.econclimate), 0.75)},\n {quantile: d3.quantile(data.map(d => d.econclimate), 0.50)},\n {quantile: d3.quantile(data.map(d => d.econclimate), 0.25)},\n ])","pinned":false,"hidden":false,"mode":"ojs"},{"id":410,"value":"points = vl.markPoint({\n fill: \"gray\",\n stroke: \"black\",\n opacity: 0.5,\n size: 30,\n strokeWidth: 5,\n strokeOpacity: 1,\n})\n .transform(\n vl.calculate('random()').as('jitter')\n )\n .encode(\n vl.y()\n .fieldQ(\"econclimate\")\n .scale({\n padding: 25\n }),\n vl.x()\n .fieldQ(\"jitter\")\n .axis(null),\n vl.tooltip(null),\n // vl.stroke()\n // .if(brush, \"black\")\n // .value(\"transparent\"),\n vl.strokeWidth()\n .if(brush, 5)\n .value(0)\n )","pinned":false,"hidden":false,"mode":"ojs"},{"id":122,"value":"heatmap = vl.markPoint({\n // y: -20,\n yOffset: -30,\n clip: true,\n stroke: \"black\",\n strokeWidth: 1.25,\n size: 600,\n xOffset: - (1 / lengthData) * 380,\n opacity: 1,\n shape: \"arrow\"\n})\n// .params(brush)\n .encode(\n vl.x()\n .fieldT(\"date15\"),\n vl.y()\n .fieldQ(\"econclimate\"),\n vl.fill()\n .fieldN(\"ampelColor\")\n .scale({\n range: [\"#72bb6f\", \"#f3d039\", \"#c3423f\"],\n domain: [\"Grün\", \"Gelb\", \"Rot\"],\n }),\n vl.opacity()\n .if(brush)\n .value(0),\n vl.angle()\n .fieldN(\"ampelColor\")\n .scale({\n range: [30, 150],\n domain: [\"Grün\", \"Gelb\", \"Rot\"],\n }),\n )","pinned":false,"hidden":false,"mode":"ojs"},{"id":904,"value":"aktuell = Math.round(inputData.map(d => d.aktuell)[lengthInputData - 1] * 10) / 10","pinned":false,"hidden":false,"mode":"ojs"},{"id":910,"value":"aktuellDiff = Math.round(inputData.map(d => d.aktuell)[lengthInputData - 1] * 10 - inputData.map(d => d.aktuell)[lengthInputData - 2] * 10) / 10","pinned":false,"hidden":false,"mode":"ojs"},{"id":870,"value":"erwartet = Math.round(inputData.map(d => d.erwartet)[lengthInputData - 1] * 10) / 10","pinned":false,"hidden":false,"mode":"ojs"},{"id":877,"value":"erwartetDiff = Math.round(inputData.map(d => d.erwartet)[lengthInputData - 1] * 10 - inputData.map(d => d.erwartet)[lengthInputData - 2] * 10) / 10 ","pinned":false,"hidden":false,"mode":"ojs"},{"id":859,"value":"econclimate = Math.round(inputData.map(d => d.econclimate)[lengthInputData - 1] * 10) / 10","pinned":false,"hidden":false,"mode":"ojs"},{"id":895,"value":"econclimateDiff = Math.round(inputData.map(d => d.econclimate)[lengthInputData - 1] * 10 - inputData.map(d => d.econclimate)[lengthInputData - 2] * 10) / 10","pinned":false,"hidden":false,"mode":"ojs"},{"id":972,"value":"econclimateLag = Math.round(inputData.map(d => d.econclimate)[lengthInputData - 2] * 10) / 10","pinned":false,"hidden":false,"mode":"ojs"},{"id":1134,"value":"farbeAktuell = inputData[inputData.length - 1].ampel >= 0.66 ? \n \"Grün\" : \n inputData[inputData.length - 1].ampel > 0.33 ?\n \"Gelb\" :\n \"Rot\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":953,"value":"monat = monate[Number(inputData.map(d => d.date)[lengthInputData - 1].substr(5, 2))-1]","pinned":false,"hidden":false,"mode":"ojs"},{"id":1069,"value":"jahr = Number(inputData.map(d => d.date)[lengthInputData - 1].substr(0,4))","pinned":false,"hidden":false,"mode":"ojs"},{"id":1608,"value":"new Date(end - 600000000000)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1742,"value":"data","pinned":true,"hidden":false,"mode":"ojs"},{"id":1611,"value":"ticks = lengthData < 60 ? \n data.filter((d, i) => i % 3 == 2).map(d => d.date) :\n data.filter((d, i) => i % 6 == 2).map(d => d.date)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1563,"value":"slider[0] + (slider[1] - slider[0])","pinned":false,"hidden":false,"mode":"ojs"},{"id":76,"value":"lines = vl.markLine({\n stroke: \"black\",\n clip: true,\n})\n .transform(\n vl.window(vl.lag(\"date\").as(\"dateLead\")).frame([1,0]),\n )\n .encode(\n vl.x()\n .fieldT(\"date\")\n .scale({\n domainMin: formatDateYMD(timeStart),\n })\n .axis({\n title: null,\n format: \"%b %y\",\n grid: false,\n labelPadding: 10,\n labelAngle: -90,\n // labelFlush: true,\n // labelFlushOffset: -100,\n labelSeparation: 6,\n values: ticks,\n minExtent: 60,\n }),\n vl.y()\n .fieldQ(\"econclimate\")\n .axis({\n title: \"WIFO-Wirtschaftsklimaindex (Gesamtwirtschaft)\",\n domain: false,\n ticks: false,\n labelPadding: 10,\n minExtent: 40,\n })\n .scale({\n padding: 25,\n })\n )","pinned":false,"hidden":false,"mode":"ojs"},{"id":419,"value":"boxplot = vl.markBoxplot({\n ticks: {\n stroke: \"black\", \n size: 25\n },\n stroke: \"black\",\n outliers: {opacity: 0},\n color: \"gray\",\n median: {\n stroke: \"black\", \n size: 25\n },\n box: {\n stroke: \"black\", \n strokeWidth: 1, \n fillOpacity: 0.25, \n size: 25,\n },\n})\n .encode(\n vl.y()\n .fieldQ(\"econclimate\")\n .axis(null),\n vl.tooltip(null),\n // vl.tooltip([\n // {\"field\": \"econclimate\", \"type\": \"quantitative\", aggregate: \"values\", title: \"test\"},\n // {\"field\": \"aktuell\", \"type\": \"quantitative\", aggregate: \"valid\", title: \"hello\"}\n // ]),\n // vl.tooltip({\n // field: \"econclimate\",\n // aggregate: \"values\",\n // })\n )","pinned":false,"hidden":false,"mode":"ojs"},{"id":961,"value":"monate = [\n \"Jänner\",\n \"Februar\",\n \"März\",\n \"April\",\n \"Mai\",\n \"Juni\",\n \"Juli\",\n \"August\",\n \"September\",\n \"Oktober\",\n \"November\",\n \"Dezember\"\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":191,"value":"heatmapBrush = vl.markPoint({\n // y: 300- 20,\n stroke: \"black\",\n strokeWidth: 1.25,\n size: 300,\n opacity: 0.8\n})\n .encode(\n vl.x()\n .fieldT(\"date\"),\n vl.y()\n .fieldQ(\"zero\"),\n vl.fill()\n .fieldN(\"ampelColor\")\n .scale({\n range: [\"#00FF00\", \"#FF0000\"],\n })\n .legend({\n title: null\n })\n )\n .transform(\n vl.filter(brush)\n )","pinned":false,"hidden":false,"mode":"ojs"},{"id":775,"value":"makeWidth = function(inputWidth) {\n if (inputWidth>1000) {\n return 800\n }\n else {\n return inputWidth / 1.6\n }\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1107,"value":"lengthInputData = [... new Set(inputData.map(d => d.date))].length","pinned":false,"hidden":false,"mode":"ojs"},{"id":39,"value":"lengthData = [... new Set(data.map(d => d.date))].length","pinned":false,"hidden":false,"mode":"ojs"},{"id":5,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":990,"value":"import { rangeInput as rangeSlider } from \"@mootari/range-slider\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":16,"value":"inputData = d3.csv(\"https://raw.githubusercontent.com/schmoigl/fg_data/main/data_ka.csv\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":115,"value":"","pinned":false,"hidden":false,"mode":"html"}],"files":"$W34","stdlib":"1","titling":"auto"}