2d:null 2e:["$","title",null,{"children":"Klima-Cockpit | Rehoja | Observable"}] 33:T4c2,

34:Tcab,function PieChart(data, { name = ([x]) => x, // given d in data, returns the (ordinal) label value = ([, y]) => y, // given d in data, returns the (quantitative) value title, // given d in data, returns the title text width = 640, // outer width, in pixels height = 400, // outer height, in pixels innerRadius = 0, // inner radius of pie, in pixels (non-zero for donut) outerRadius = Math.min(width, height) / 2, // outer radius of pie, in pixels labelRadius = (innerRadius * 0.2 + outerRadius * 0.8), // center radius of labels format = ",", // a format specifier for values (in the label) names, // array of names (the domain of the color scale) colors, // array of colors for names stroke = innerRadius > 0 ? "none" : "white", // stroke separating widths strokeWidth = 1, // width of stroke separating wedges strokeLinejoin = "round", // line join of stroke separating wedges padAngle = stroke === "none" ? 1 / outerRadius : 0, // angular separation between wedges } = {}) { // Compute values. const N = d3.map(data, name); const V = d3.map(data, value); const I = d3.range(N.length).filter(i => !isNaN(V[i])); // Unique the names. if (names === undefined) names = N; names = new d3.InternSet(names); // Chose a default color scheme based on cardinality. if (colors === undefined) colors = d3.schemeSpectral[names.size]; if (colors === undefined) colors = d3.quantize(t => d3.interpolateSpectral(t * 0.8 + 0.1), names.size); // Construct scales. const color = d3.scaleOrdinal(names, colors); // Compute titles. if (title === undefined) { const formatValue = d3.format(format); title = i => `${N[i]}\n${formatValue(V[i])}`; } else { const O = d3.map(data, d => d); const T = title; title = i => T(O[i], i, data); } // Construct arcs. const arcs = d3.pie().padAngle(padAngle).sort(null).value(i => V[i])(I); const arc = d3.arc().innerRadius(innerRadius).outerRadius(outerRadius); const arcLabel = d3.arc().innerRadius(labelRadius).outerRadius(labelRadius); const svg = d3.create("svg") .attr("width", width) .attr("height", height) .attr("viewBox", [-width / 2, -height / 2, width, height]) .attr("style", "max-width: 100%; height: auto; height: intrinsic;"); svg.append("g") .attr("stroke", stroke) .attr("stroke-width", strokeWidth) .attr("stroke-linejoin", strokeLinejoin) .selectAll("path") .data(arcs) .join("path") .attr("fill", d => color(N[d.data])) .attr("d", arc) .append("title") .text(d => title(d.data)); svg.append("g") .attr("font-family", "sans-serif") .attr("font-size", 10) .attr("text-anchor", "middle") .selectAll("text") .data(arcs) .join("text") .attr("transform", d => `translate(${arcLabel.centroid(d)})`) .selectAll("tspan") .data(d => { const lines = `${title(d.data)}`.split(/\n/); return (d.endAngle - d.startAngle) > 0.25 ? lines : lines.slice(0, 1); }) .join("tspan") .attr("x", 0) .attr("y", (_, i) => `${i * 1.1}em`) .attr("font-weight", (_, i) => i ? null : "bold") .text(d => d); return Object.assign(svg.node(), {scales: {color}}); }35:Tbf6,function BarChart(data, { x = (d, i) => i, // given d in data, returns the (ordinal) x-value y = d => d, // given d in data, returns the (quantitative) y-value title, // given d in data, returns the title text marginTop = 20, // the top margin, in pixels marginRight = 0, // the right margin, in pixels marginBottom = 30, // the bottom margin, in pixels marginLeft = 40, // the left margin, in pixels width = 640, // the outer width of the chart, in pixels height = 400, // the outer height of the chart, in pixels xDomain, // an array of (ordinal) x-values xRange = [marginLeft, width - marginRight], // [left, right] yType = d3.scaleLinear, // y-scale type yDomain, // [ymin, ymax] yRange = [height - marginBottom, marginTop], // [bottom, top] xPadding = 0.1, // amount of x-range to reserve to separate bars yFormat, // a format specifier string for the y-axis yLabel, // a label for the y-axis color = "currentColor" // bar fill color } = {}) { // Compute values. const X = d3.map(data, x); const Y = d3.map(data, y); // Compute default domains, and unique the x-domain. if (xDomain === undefined) xDomain = X; if (yDomain === undefined) yDomain = [0, d3.max(Y)]; xDomain = new d3.InternSet(xDomain); // Omit any data not present in the x-domain. const I = d3.range(X.length).filter(i => xDomain.has(X[i])); // Construct scales, axes, and formats. const xScale = d3.scaleBand(xDomain, xRange).padding(xPadding); const yScale = yType(yDomain, yRange); const xAxis = d3.axisBottom(xScale).tickSizeOuter(0); const yAxis = d3.axisLeft(yScale).ticks(height / 40, yFormat); // Compute titles. if (title === undefined) { const formatValue = yScale.tickFormat(100, yFormat); title = i => `${X[i]}\n${formatValue(Y[i])}`; } else { const O = d3.map(data, d => d); const T = title; title = i => T(O[i], i, data); } const svg = d3.create("svg") .attr("width", width) .attr("height", height) .attr("viewBox", [0, 0, width, height]) .attr("style", "max-width: 100%; height: auto; height: intrinsic;"); svg.append("g") .attr("transform", `translate(${marginLeft},0)`) .call(yAxis) .call(g => g.select(".domain").remove()) .call(g => g.selectAll(".tick line").clone() .attr("x2", width - marginLeft - marginRight) .attr("stroke-opacity", 0.1)) .call(g => g.append("text") .attr("x", -marginLeft) .attr("y", 10) .attr("fill", "currentColor") .attr("text-anchor", "start") .text(yLabel)); const bar = svg.append("g") .attr("fill", color) .selectAll("rect") .data(I) .join("rect") .attr("x", i => xScale(X[i])) .attr("y", i => yScale(Y[i])) .attr("height", i => yScale(0) - yScale(Y[i])) .attr("width", xScale.bandwidth()); if (title) bar.append("title") .text(title); svg.append("g") .attr("transform", `translate(0,${height - marginBottom})`) .call(xAxis); return svg.node(); }36:T15b7,function LineChart_test(data, { x = ([x]) => x, // given d in data, returns the (temporal) x-value y = ([, y]) => y, // given d in data, returns the (quantitative) y-value title, // given d in data, returns the title text defined, // for gaps in data curve = d3.curveLinear, // method of interpolation between points marginTop = 20, // top margin, in pixels marginRight = 30, // right margin, in pixels marginBottom = 30, // bottom margin, in pixels marginLeft = 40, // left margin, in pixels width = 640, // outer width, in pixels height = 400, // outer height, in pixels xType = d3.scaleLinear, // type of x-scale xDomain, // [xmin, xmax] xRange = [marginLeft, width - marginRight], // [left, right] yType = d3.scaleLinear, // type of y-scale yDomain, // [ymin, ymax] yRange = [height - marginBottom, marginTop], // [bottom, top] color = "currentColor", // stroke color of line strokeWidth = 1.5, // stroke width of line, in pixels strokeLinejoin = "round", // stroke line join of line strokeLinecap = "round", // stroke line cap of line yFormat, // a format specifier string for the y-axis yLabel, // a label for the y-axis } = {}) { // Compute values. const X = d3.map(data, x); const Y = d3.map(data, y); const O = d3.map(data, d => d); const I = d3.map(data, (_, i) => i); // Compute which data points are considered defined. if (defined === undefined) defined = (d, i) => !isNaN(X[i]) && !isNaN(Y[i]); const D = d3.map(data, defined); // Compute default domains. if (xDomain === undefined) xDomain = d3.extent(X); if (yDomain === undefined) yDomain = [d3.min(Y), d3.max(Y)]; // Construct scales and axes. const xScale = xType(xDomain, xRange); const yScale = yType(yDomain, yRange); const xAxis = d3.axisBottom(xScale).ticks(width / 40).tickSizeOuter(0); const yAxis = d3.axisLeft(yScale).ticks(height / 40, yFormat); // Compute titles. if (title === undefined) { const formatDate = X//xScale.tickFormat(null, "%Y"); const formatValue = yScale.tickFormat(100, yFormat); title = i => `${X[i]}\n${formatValue(Y[i])}`; } else { const O = d3.map(data, d => d); const T = title; title = i => T(O[i], i, data); } // Construct a line generator. const line = d3.line() .defined(i => D[i]) .curve(curve) .x(i => xScale(X[i])) .y(i => yScale(Y[i])); const svg = d3.create("svg") .attr("width", width) .attr("height", height) .attr("viewBox", [0, 0, width, height]) .attr("style", "max-width: 100%; height: auto; height: intrinsic;") .attr("font-family", "sans-serif") .attr("font-size", 10) .style("-webkit-tap-highlight-color", "transparent") .style("overflow", "visible") .on("pointerenter pointermove", pointermoved) .on("pointerleave", pointerleft) .on("touchstart", event => event.preventDefault()); svg.append("g") .attr("transform", "translate("+(marginLeft)+", "+yScale(0)+")") .append("line") .attr("x2", width - marginLeft - marginRight) .style("stroke", "black") .style("stroke-width", "1.5px") svg.append("rect") .attr("transform", "translate("+xScale(1901)+", "+marginTop+")") // .attr("x", 150) // .attr("y", 50) .attr("width", xScale(2000)-xScale(1901)) .attr("height", height - marginBottom - marginTop) .attr("fill",'grey') .attr("fill-opacity",0.1); svg.append("g") .attr("transform", `translate(0,${height - marginBottom})`) .call(xAxis); svg.append("g") .attr("transform", `translate(${marginLeft},0)`) .call(yAxis) .call(g => g.select(".domain").remove()) .call(g => g.selectAll(".tick line").clone() .attr("x2", width - marginLeft - marginRight) .attr("stroke-opacity", 0.1)) .call(g => g.append("text") .attr("x", -marginLeft) .attr("y", 10) .attr("fill", "currentColor") .attr("text-anchor", "start") .text(yLabel)); svg.append("path") .attr("fill", "none") .attr("stroke", color) .attr("stroke-width", strokeWidth) .attr("stroke-linejoin", strokeLinejoin) .attr("stroke-linecap", strokeLinecap) .attr("d", line(I)); const tooltip = svg.append("g") .style("pointer-events", "none"); function pointermoved(event) { const i = d3.bisectCenter(X, xScale.invert(d3.pointer(event)[0])); tooltip.style("display", null); tooltip.attr("transform", `translate(${xScale(X[i])},${yScale(Y[i])})`); const path = tooltip.selectAll("path") .data([,]) .join("path") .attr("fill", "white") .attr("stroke", "black"); const text = tooltip.selectAll("text") .data([,]) .join("text") .call(text => text .selectAll("tspan") .data(`${title(i)}`.split(/\n/)) .join("tspan") .attr("x", 0) .attr("y", (_, i) => `${i * 1.1}em`) .attr("font-weight", (_, i) => i ? null : "bold") .text(d => d)); const {x, y, width: w, height: h} = text.node().getBBox(); text.attr("transform", `translate(${-w / 2},${15 - y})`); path.attr("d", `M${-w / 2 - 10},5H-5l5,-5l5,5H${w / 2 + 10}v${h + 20}h-${w + 20}z`); svg.property("value", O[i]).dispatch("input", {bubbles: true}); } function pointerleft() { tooltip.style("display", "none"); svg.node().value = null; svg.dispatch("input", {bubbles: true}); } return Object.assign(svg.node(), {value: null}); }37:[{"id":"9813b796dc1e15a49ae9da363e1e4de9795d459243e380836ebeda68e90dc84413c0f3cd95193460c5e4e1dbefc40ec081d8a349c8c98e0d5252fdd4b182f794","href":"https://static.observableusercontent.com/files/9813b796dc1e15a49ae9da363e1e4de9795d459243e380836ebeda68e90dc84413c0f3cd95193460c5e4e1dbefc40ec081d8a349c8c98e0d5252fdd4b182f794","name":"Bildschirmfoto 2022-11-26 um 13.30.56.png","type":"image/png","lastModified":1669465913100.269,"size":608927},{"id":"b2ec9638337d3f85874f5e728e43be79436c17700c43fe5799da35004d939c1a65f4ad45702637666c29b9a7e7a02c4cf01b91823854d22f1dd4187232e4ae97","href":"https://static.observableusercontent.com/files/b2ec9638337d3f85874f5e728e43be79436c17700c43fe5799da35004d939c1a65f4ad45702637666c29b9a7e7a02c4cf01b91823854d22f1dd4187232e4ae97","name":"tempChart.png","type":"image/png","lastModified":1669470543340.45,"size":243925}] 31:{"id":"fa0dc118c88f6b19","slug":"klima-cockpit","title":"Klima-Cockpit","thumbnail":"2d2ca29eefa0a82ddae8d21a02ae428ad79fee2e0dbe51ac04dcb34628a83a2b","access_level":"unlisted","create_time":"$D2022-11-25T12:25:17.779Z","update_time":"$D2022-11-26T13:49:44.822Z","view_time":null,"first_public_time":"$D2022-11-25T12:25:17.779Z","fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"bc6917126bd8a1d4","login":"rehoja","name":"Rehoja","avatar_url":"https://avatars-next.observableusercontent.com/206f68feb623877a300a6914104513463345618e60cfd25e0d766416610d950c","tier":"starter_2024"},"version":818,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"1398cb39f3ba00bf","login":"felixmichel","name":"Felix Michel","avatar_url":"https://avatars-next.observableusercontent.com/4b9f6f61d9c7481c763892b1fd34b3686fc68bf0d5bfe1c8e4068123a2a8ac5e","tier":null},{"type":"individual","id":"113486c870480bd3","login":"lucaliechti","name":"Luca Liechti","avatar_url":"https://avatars-next.observableusercontent.com/af1d7a2fd6441d30559abebb206ff20bfd8070ae27744235f5658e7ab23cb684","tier":null}],"members":[{"type":"individual","id":"1398cb39f3ba00bf","login":"felixmichel","name":"Felix Michel","avatar_url":"https://avatars-next.observableusercontent.com/4b9f6f61d9c7481c763892b1fd34b3686fc68bf0d5bfe1c8e4068123a2a8ac5e","tier":null,"role":"editor"},{"type":"team","id":"bc6917126bd8a1d4","login":"rehoja","name":"Rehoja","avatar_url":"https://avatars-next.observableusercontent.com/206f68feb623877a300a6914104513463345618e60cfd25e0d766416610d950c","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"title":"Klima-Cockpit","cells":[{"id":0,"value":"","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":764,"value":"

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Unterschiedlichste Faktoren auf lokaler und kantonaler Ebene beeinflussen unser globales Klima. Die Übersicht liefert die wichtigsten Eckdaten aus dem Kanton Basel-Stadt und zeigt auf, welche Entwicklungen – und Möglichkeiten zur Einflussnahme – existieren.

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Stromverbrauch

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${energyPlot}

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Dieser Datensatz beinhaltet die Summe der elektrischen Energie, die im Kanton Basel-Stadt innert 15-Minuten-Intervallen aus dem Netz bezogen wird. 1998 hat Basel-Stadt als erster Kanton der Schweiz eine Lenkungsabgabe auf Strom gesetzlich eingeführt. Sie soll zum sparsamen Umgang mit Strom motivieren. Wer wenig Strom braucht, bezahlt wenig Lenkungsabgabe, bekommt aber gleich viel Geld zurück wie Vielverbrauchende. Bei den Firmen werden die belohnt, die viele Arbeitsplätze anbieten und Strom effizient nutzen.\nDas Bundesamt für Energie hat 2003 eine Evaluation des Stromspar-Bonus in Auftrag gegeben. Sie zeigt, dass die energetische Wirkung des Systems zwischen 30 GWh und 100 GWh pro Jahr beträgt.\n

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Energie-Ziele der Stadt Basel

Im Bereich der Stromversorgung will der Kanton den Fokus auf einen möglichst starken und möglichst schnellen Ausbau bei der gebäudegebundenen Photovoltaik legen. Denn mit dem Umstieg auf eine vollständige Elektrifizierung des motorisierten Individualverkehrs und zahlreichen zusätzlichen Wärmepumpen akzentuiert sich die Dringlichkeit des Photovoltaikausbaus auf Kantonsgebiet zusätzlich.

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Temperatur

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Im Kanton Basel-Stadt hat sich die durchschnittliche Jahrestemperatur seit 1864 um 2,1° Celsius erhöht. Das National Centre for Climate Services (NCCS) des Bundes rechnet damit, dass die Temperatur, bei stigendem Treibhausgasausstoss, bis 2060 um weitere 2,3° Celsius gegenüber der Periode 1981-2010 ansteigen wird.

\n\n

Insbesondere die Höchsttemperaturen nahmen in den letzten Jahren und Jahrzehnten zu. Bereits heute treten sogenannte Hitzetage mit Tagestemperaturen über 30° Celsius häufiger auf. Ebenso Tropennächte, in welchen die Temperatur über Nacht nicht unter 20° Celsius fällt.

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Temperatur-Ziele der Stadt Basel

Der Kanton Basel-Stadt hat kein eigenes Temperatur-Ziel. Im Rahmen des Pariser Klimaschutzabkommens von 2015 wurde jedoch ein globales Ziel zur Begrenzung der globalen Erwärmung auf deutlich unter 2° Celsisus, im Vergleich zum vorindustriellen Niveau, festgelegt. Die Schweiz – und somit auch der Kanton Basel-Stadt – trägt die Ziele des Pariser Klimaschutzabkommens mit.

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Mobilität

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\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":420,"value":"mobilityHTML = html`\n

${mobilityChart}

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":766,"value":"

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Die Daten zeigen die wöchentlichen Zahlen der Fahrgäst*innen der Basler Verkehrsbetriebe (BVB) ab dem Jahr 2020. Sie beruhen auf Messungen mit dem automatischen Fahrgastzählsystem und anschliessender Hochrechnung. Die Revision des kantonalen ÖV-Gesetzes sorgt dafür, dass die zurückgelegten Kilometer der BVB ab 2027 mit 100 Prozent erneuerbarer Energie gefahren werden. Seit 2008 fahren 30 Busse der BVB mit 50 Prozent Biogas, so können pro Jahr rund eine Million Liter Dieseltreibstoff eingespart werden, was einer jährlichen CO2-Reduktion von 1'300 Tonnen entspricht. Im Jahr 2012 genehmigte der Grosse Rat den Plan über den Ausbau des Tramstreckennetzes im Kanton Basel-Stadt. Seither wurde der grenzüberschreitende öffentliche Verkehr wurde mit den Tramverlängerungen nach Weil am Rhein und nach Saint-Louis weiter verbessert. Für die Tramprojekte Klybeck, Claragraben und Petersgraben werden derzeit Vorstudien erarbeitet.

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Mobilität-Ziele der Stadt Basel

Der Ausbau des ÖV-Netzes ist sinnvoll mit Blick auf die kantonalen Klimaziele, die den Verkehr betreffen. Der private Motorfahrzeugverkehr darf gemäss Umweltschutzgesetz auch bei einem Bevölkerungs- und Wirtschaftswachstum nicht zunehmen. Umweltfreundliche Verkehrsmittel sollen bevorzugt behandelt und ihr Anteil am Verkehrsaufkommen soll erhöht werden. Darüber hinaus hat der Verkehr bis 2050 nur noch mit Verkehrsmitteln zu erfolgen, die emissionsarm, klima- und ressourcenschonend sind. Der Regierungsrat hat den Entwurf der künftigen Mobilitätsstrategie «Basel unterwegs - klimafreundlich ans Ziel» verabschiedet. Die Bevölkerung hatte bis zum 29. April 2022 die Gelegenheit, sich im Rahmen einer öffentlichen Vernehmlassung zum Entwurf zu äussern. Zurzeit prüft der Regierungsrat die Eingaben und er überarbeitet die Strategie. Der Beschluss zur neuen Mobilitätsstrategie ist für diesen Herbst vorgesehen.

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Klima-Trends

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\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":628,"value":"trendsHTML = html`\n

${googleTrendsPlot}

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\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":630,"value":"

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":736,"value":"---","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":602,"value":"# Klima Veranstaltungen in der Nähe\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":758,"value":"

\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":611,"value":"$33","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":723,"value":"

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":583,"value":"# Datenbanken und Code","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":760,"value":"

\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":52,"value":"SELECT AVG(load), iso_year, iso_week FROM electricity_view GROUP BY iso_year, iso_week ORDER BY iso_year, iso_week","pinned":true,"hidden":false,"mode":"sql","author":"$undefined","summary":"$undefined","output":"networkUsageGrouped","database":"rehoja"},{"id":353,"value":"inputOptionsEnergy = new Set(networkUsageGrouped.map(d => d.iso_year))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":85,"value":"## Trees in Basel","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":762,"value":"

\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":110,"value":"SELECT COUNT(*), location FROM trees WHERE municipality = 'Basel' AND NOT location IS NULL GROUP BY location;","pinned":false,"hidden":false,"mode":"sql","author":"$undefined","summary":"$undefined","output":"tree_locations","database":"rehoja"},{"id":123,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":117,"value":"chart = PieChart(tree_locations, {\n name: d => d.location,\n value: d => d.count,\n width,\n height: 500\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":128,"value":"SELECT COUNT(*), tree_age_total FROM trees WHERE NOT tree_age_total IS NULL GROUP BY tree_age_total ORDER BY tree_age_total ASC;","pinned":true,"hidden":false,"mode":"sql","author":"$undefined","summary":"$undefined","output":"tree_ages","database":"rehoja"},{"id":135,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":133,"value":"ages_chart = BarChart(tree_ages, {\n x: d => d.tree_age_total,\n y: d => d.count,\n yDomain: [0, 800],\n yFormat: \"#\",\n yLabel: \"↑ Frequency\",\n width,\n height: 500,\n color: \"steelblue\"\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":272,"value":"tree_ages","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":92,"value":"## Temperature time series","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":163,"value":"SELECT AVG(temperature) as temperature, year FROM weather WHERE year < 2022 GROUP BY year ORDER BY year ASC;","pinned":true,"hidden":false,"mode":"sql","author":"$undefined","summary":"$undefined","output":"temp_dat","database":"rehoja"},{"id":243,"value":"average = temp_dat.filter(n => n.year > 1900 && n.year <=2000).reduce((total, next) => total + next.temperature, 0) / temp_dat.filter(n => n.year > 1900 && n.year <=2000).length","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":799,"value":"temp_dat.forEach(n => n.anomaly = n.temperature - average)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":187,"value":"SELECT week_start_day, riders FROM public_transport ORDER BY week_start_day ASC;","pinned":true,"hidden":false,"mode":"sql","author":"$undefined","summary":"$undefined","output":"public_transport","database":"rehoja"},{"id":193,"value":"mobilityChart = Plot.plot({\n y: {\n grid: true,\n label: \"Fahrgäste im öffentlichen Verkehr\"\n },\n x: {\n label: \"\"\n },\n marginLeft: 50,\n marks: [\n Plot.line(public_transport, {x: \"week_start_day\", y: \"riders\", strokeWidth: 2, curve: \"monotone-x\", stroke: \"#008f5d\"})\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":282,"value":"SELECT * FROM google_trends","pinned":true,"hidden":false,"mode":"sql","author":"$undefined","summary":"$undefined","output":"googleTrends","database":"rehoja"},{"id":320,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":570,"value":"googleTrendsPlot = Plot.plot({\n y: {\n label: \"Relevanz\"\n },\n x: {\n label: \"\"\n },\n marks: [\n Plot.ruleY([0]),\n Plot.lineY(googleTrends.map(d => {return {relevance_100: +d.relevance_100, period_start: d.period_start}}), {x: \"period_start\", y: \"relevance_100\", strokeWidth: 2, stroke: \"#f68512\"})\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":322,"value":"tempChart = LineChart_test(temp_dat, {\n x: d => d.year,\n y: d => d.anomaly,\n yLabel: \"Temperature anomaly to 1900-2000 average\",\n width: 1001,\n height: 500,\n color: \"#de3c82\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":645,"value":"tempPlot = Plot.plot({\n y: {\n label: \"Temperaturanomalie\",\n grid: true\n },\n marks: [\n Plot.ruleY([0]),\n Plot.lineY(temp_dat, {x: \"year\", y: \"anomaly\", curve: \"monotone-x\", strokeWidth: 2, stroke: \"#de3c82\" })\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":388,"value":"style = html`\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W37","stdlib":"1","titling":"auto"}} 32:"$31:body"

Klima-Cockpit