28:null 29:["$","title",null,{"children":"CDC Building 108 | Elementa Engineering | Observable"}] 2e:T12cb,characterization = { const config = { height: 520, width: 960, units: unitSelection.unit, label: `${unitSelection.unit === "IP" ? "kBTU/ft²/yr": "kWh/m²/yr"}` }; const svg = d3.select(DOM.svg(config.width, config.height)); const graph = sankey(sankey_data); const nodeWidth = graph.nodes[0].x1 - graph.nodes[0].x0; const node = svg.selectAll("g") .data(graph.nodes) .enter().append("g") .attr('transform', d => `translate(${d.x0}, ${d.y0})`); node.append("rect") .attr("height", d => d.y1 - d.y0) .attr("width", d => d.x1 - d.x0) .attr("fill", d => color(d.name)) .attr("display", d => d.name === "Nothing" ? "none" : null) .attr("stroke", "#000") .append("title") .html(d => `${d.name}\n${eui(d.value)} ${config.label}`); node.append("text") .style("font", "10px sans-serif") .attr("x", d => d.x0 < config.width / 2 ? 6 + (d.x1 - d.x0) : - 6) .attr("y", d => (d.y1 - d.y0) / 2) .attr("dy", "0.35em") .attr("display", d => d.name === "Window Losses" ? "none" : null) .attr("text-anchor", d => d.x0 < config.width / 2 ? "start" : "end") .attr('font-size', 10) .html(d => d.name); node.append("text") .style("font", "12px sans-serif") .attr("x", d => d.x0 < config.width / 2 ? 6 + (d.x1 - d.x0) : - 6) .attr("y", d => (d.y1 - d.y0) / 2) .attr("dy", d => { // switch(d.name) { // case "Heating Load": // return "-1.25em"; // default: // return "1.85em"; // } return "1.8em"; }) .attr("text-anchor", d => d.x0 < config.width / 2 ? "start" : "end") .style("font-weight", "bold") .html(d => { switch(d.name) { case "Natural Gas": return `EUI: ${_.round(eui(d.value), 0)} ${config.label}`; case "Electricity": return `EUI: ${_.round(eui(d.value), 0)} ${config.label}`; // case "Heating Load": // let source = d.targetLinks.filter(dd => dd.source.name === "Heating System"); // return `Heating TEDI: ${_.round(eui(source[0].value), 0)} ${config.label}`; default: return ""; } }); node.attr('cursor', 'move') .call(d3.drag() .on('start', dragStart) .on('drag', dragMove) .on('end', dragEnd)); const link = svg.append("g") .attr("fill", "none") .attr("stroke-opacity", 0.5) .selectAll("g") .data(graph.links) .enter().append("g") .style("mix-blend-mode", "multiply") .attr("id", d => d.source.name.replace(" ", "_") + "_" + d.target.name.replace(" ", "_")); //apply gradients based on input and output const gradient = link.append("linearGradient") .attr("id", d => (d.uid = DOM.uid("link")).id) .attr("gradientUnits", "userSpaceOnUse") .attr("x1", d => d.source.x1) .attr("x2", d => d.target.x0); gradient.append("stop") .attr("offset", "0%") .attr("stop-color", d => color(d.source.name)); gradient.append("stop") .attr("offset", "100%") .attr("stop-color", d => color(d.target.name)); link.append("path") .attr("class", "link") .attr("d", d3.sankeyLinkHorizontal()) .attr("stroke", d => d.uid) .attr("display", d=> d.target.name === "Nothing" ? "none": null) .attr("opacity", d => d.value < 0.02 ? 0 : 1) .attr("stroke-width", d => Math.max(1, d.width)); link.append("title") .html(d => `${d.source.name} → ${d.target.name}\n${eui(d.value)} ${config.label}`); function dragStart (d) { if (!d.__x) d.__x = d3.event.x; if (!d.__y) d.__y = d3.event.y; if (!d.__x0) d.__x0 = d.x0; if (!d.__y0) d.__y0 = d.y0; if (!d.__x1) d.__x1 = d.x1; if (!d.__y1) d.__y1 = d.y1; } function dragMove(d) { d3.select(this) .attr('transform', function (d) { const dx = d3.event.x - d.__x; const dy = d3.event.y - d.__y; d.x0 = d.__x0 + dx; d.x1 = d.__x1 + dx; d.y0 = d.__y0 + dy; d.y1 = d.__y1 + dy; if (d.x0 < 0) { d.x0 = 0; d.x1 = nodeWidth; } if (d.x1 > config.width) { d.x0 = config.width - nodeWidth; d.x1 = config.width; } if (d.y0 < 0) { d.y0 = 0; d.y1 = d.__y1 - d.__y0; } if (d.y1 > config.height) { d.y0 = config.height - (d.__y1 - d.__y0); d.y1 = config.height; } return `translate(${d.x0}, ${d.y0})`; }); sankey.update(graph); link.selectAll(".link").attr('d', d3.sankeyLinkHorizontal()); } function dragEnd(d) { delete d.__x; delete d.__y; delete d.__x0; delete d.__x1; delete d.__y0; delete d.__y1; } return svg.node(); }2f:T2241,sensitivies = { //general setup const config = { width: 960, cell: {height: 250, padding:40}, margin: {top: 60, right:10, bottom: 30, left: 35}, cols: 3, format: { "Window U": { newName: "Window U", convert: d => 1/d, ticks: d => d3.format(".2f")(1/d)}, "WWR": { newName: "Window-Wall Ratio", ticks: d3.format(",.0%")}, "WWR wShades": { newName: "Window-Wall Ratio w/ Shading", ticks: d3.format(",.0%")}, "TEDI": { newName: "TEDI + CEDI", }, "Window SHGC wShades": { newName: "Window SHGC w/ Shading", }}, units: unitSelection.unit, y: euiSwitch.y } const tooltip = d3.select("body").append("div") .attr("class", "tooltip") .style("display", "none") .style("position", "absolute") //.style("width", "80px") //.style("height", "30px") .style("z-index", "1000") .style("padding", "12px") .style("font-weight", "bold") .style("font-family", "Open Sans") .style("font-size", "12px") .style("background", "#ffffff") .style("opacity", 0.9) .style("color", "#333333") .style("pointer-events", "none"); //handles conversion for each variable in config.format const data = sensitivity_data.map(d => { let dd = d.data; for (const key in config.format) { console.log(key); if ("convert" in config.format[key]) { dd = dd.map(p => ({...p, [key]: config.format[key].convert(p[key])})); } } return {variable: d.variable, data: dd}; }); //find the width of cells by dividing the total width by the number of cols config.cell.width = _.round( (config.width - config.margin.left - config.margin.right - config.cell.padding * (config.cols-1)) / config.cols ); //csize the svg based on the number of rows const svg = d3.select(DOM.svg(config.width, (config.cell.height + config.margin.bottom + config.cell.padding) * _.ceil(data.length / 3) + config.margin.top - config.margin.bottom )); //all the y values are the same - could use a map here to get different scales for each small multiple const y = d3.scaleLinear() .domain(d3.extent(data.map(d => d.data.map(p => eui(p[config.y]))).flat())) .range([config.cell.height, 0]).nice(); //create a map for all the x scales const x = new Map( Array.from( data.map(d => d.variable), key => [ key, d3.scaleLinear(d3.extent(data.filter(d => d.variable === key)[0].data.map(d => d[key])), key === "Infiltration" ? [config.cell.width, 0] : [0, config.cell.width]) ] ) ); //create a group for each chart const chart = svg.selectAll("g") .data(data) .join("g") .attr("transform", (d, i) => { //position the group in its appropriate row and col const h = (i % config.cols) * (config.cell.width + config.cell.padding) + config.margin.left; const v = _.floor(i / config.cols) * (config.cell.height + config.margin.bottom + config.cell.padding) + config.margin.top; return `translate(${h},${v})` }); //run through each group chart.each(function(d, i) { //rename the variable if needed let name = d.variable; if (name in config.format) { if ("newName" in config.format[name]){ name = config.format[name].newName; } } //if there are format specifiers, use them, otherwise just use the default let xa = d3.axisBottom(x.get(d.variable)).ticks(6); if (d.variable in config.format) { if ("ticks" in config.format[d.variable]){ xa.tickFormat(config.format[d.variable].ticks); } } const xAxis = g => g .attr("transform", `translate(0,${config.cell.height})`) .call(xa) .call(g => g.select(".domain").remove()); const yAxis = g => { if (i % config.cols === 0) { g.call(d3.axisLeft(y).ticks(6).tickFormat(d3.format(".1f"))) .call(g => g.select(".domain").remove()); } } //put the y axis label in the top left corner of the first row/col. if (i === 0) { d3.select(this).append("g") .attr("transform", "translate(15, 20)") .append("text") .attr("font-size", 10) .attr("text-anchor", "start") .attr("opacity",1) .html(config.y === "TEDI" ? (config.units === "IP" ? `TEDI + CEDI kBTU/ft²/yr`: `TEDI + CEDI kWh/m²/yr`) : `${config.y}` ); } //general pattern for generating the interpolation line const line = d3.line() .x(dd => x.get(d.variable)(dd[d.variable])) .y(dd => y(eui(dd[config.y]))) .curve(d3.curveCardinal.tension(0)); //horizontal grid lines d3.select(this).selectAll(".grid .horizontal") .data(_.range(8).slice(1).map(d => d * config.cell.height / 8)) .join("line") .attr("class", "grid") .attr("x1", (i % config.cols != 0) ? -config.cell.padding : 0) .attr("y1", d => d) .attr("x2", config.cell.width) .attr("y2", d => d); //vertical grid lines d3.select(this).selectAll(".grid .vertical") .data(_.range(8).slice(1).map(d => d * config.cell.width / 8)) .join("line") .attr("class", "grid") .attr("x1", d => d) .attr("y1", 0) .attr("x2", d => d) .attr("y2", config.cell.height); d3.select(this).append("g").call(xAxis); d3.select(this).append("g").call(yAxis); d3.select(this).append("rect") .attr("class", "frame") .classed("filled", (d.variable === "Infiltration")) .attr("x", 0) .attr("y", 0) .attr("width", config.cell.width) .attr("height", config.cell.height); //add the variable labels d3.select(this).append("text") .attr("x", 0) .attr("y", -15) .attr("text-anchor", "start") .attr("font-size", 12) .style("font-family", "Open Sans") .html(name); d3.select(this).selectAll(".recommended") .data(d.data.filter(dd => dd.Recommended === "yes")) .join("circle") .attr("class", "recommended") .attr("cx", function(dd) { return x.get(d.variable)(dd[d.variable]); }) .attr("cy", function(dd) { return y(eui(dd[config.y])); }) .attr("r",10) .attr("fill", "#b4d6e8") .attr("opacity", 0.8); d3.select(this).append("path") .datum(d.data) .attr("class", "interpolation") .attr("fill", "none") .attr("stroke", d.variable === "Infiltration" ? "#kjahsd": "#1f77b4") .attr("stroke-width", 2) .attr("stroke-linejoin", "round") .attr("stroke-linecap", "round") .attr("d", line); d3.select(this).selectAll("points") .data(d.data) .join("circle") .attr("class", "points") .attr("cx", function(dd) { return x.get(d.variable)(dd[d.variable]); }) .attr("cy", function(dd) { return y(eui(dd[config.y])); }) .attr("r",3) .attr("display", dd => { if (d.variable === "WWR" && dd[d.variable] === 0.35) { return "none"; } else if (d.variable === "Window U" && dd[d.variable] === 1/0.35) { return "none"; } else { return null; } }) .attr("stroke", "#1f77b4") .style("fill", dd => dd.Baseline === "yes" ? "#1f77b4": "#b4d6e8" ); d3.select(this).selectAll("overlay") .data(d.data) .join("circle") .attr("class", "overlay") .attr("r",18) .attr("stroke", "none") .style("fill", "#fff") .style("opacity", 0) .attr("cx", function(dd) { return x.get(d.variable)(dd[d.variable]); }) .attr("cy", function(dd) { return y(eui(dd[config.y])); }) .on("mouseover", dd => { tooltip.style("display", null); let data = dd[d.variable]; if (d.variable in config.format) { if ("ticks" in config.format[d.variable]){ data = config.format[d.variable].ticks(data); } } tooltip.html(`${data} | ${config.y} ${_.round(eui(dd[config.y]))} `) .style("left", (d3.event.pageX) + "px") .style("top", (d3.event.pageY - 28) + "px");; }) .on("mousemove", dd => { tooltip .style("left", (d3.event.pageX) + "px") .style("top", (d3.event.pageY - 28) + "px"); }) .on("mouseout", d => { tooltip.style("display", "none"); }); }); return svg.node(); } 30:T2254,sensitivies_112 = { //general setup const config = { width: 960, cell: {height: 250, padding:40}, margin: {top: 60, right:10, bottom: 30, left: 35}, cols: 3, format: { "Window U": { newName: "Window U", convert: d => 1/d, ticks: d => d3.format(".2f")(1/d)}, "WWR": { newName: "Window-Wall Ratio", ticks: d3.format(",.0%")}, "WWR wShades": { newName: "Window-Wall Ratio w/ Shading", ticks: d3.format(",.0%")}, "TEDI": { newName: "TEDI + CEDI", }, "Window SHGC wShades": { newName: "Window SHGC w/ Shading", }}, units: unitSelection.unit, y: euiSwitch.y } const tooltip = d3.select("body").append("div") .attr("class", "tooltip") .style("display", "none") .style("position", "absolute") //.style("width", "80px") //.style("height", "30px") .style("z-index", "1000") .style("padding", "12px") .style("font-weight", "bold") .style("font-family", "Open Sans") .style("font-size", "12px") .style("background", "#ffffff") .style("opacity", 0.9) .style("color", "#333333") .style("pointer-events", "none"); //handles conversion for each variable in config.format const data = sensitivity_data2.map(d => { let dd = d.data; for (const key in config.format) { console.log(key); if ("convert" in config.format[key]) { dd = dd.map(p => ({...p, [key]: config.format[key].convert(p[key])})); } } return {variable: d.variable, data: dd}; }); //find the width of cells by dividing the total width by the number of cols config.cell.width = _.round( (config.width - config.margin.left - config.margin.right - config.cell.padding * (config.cols-1)) / config.cols ); //csize the svg based on the number of rows const svg = d3.select(DOM.svg(config.width, (config.cell.height + config.margin.bottom + config.cell.padding) * _.ceil(data.length / 3) + config.margin.top - config.margin.bottom )); //all the y values are the same - could use a map here to get different scales for each small multiple const y = d3.scaleLinear() .domain(d3.extent(data.map(d => d.data.map(p => eui(p[config.y]))).flat())) .range([config.cell.height, 0]).nice(); //create a map for all the x scales const x = new Map( Array.from( data.map(d => d.variable), key => [ key, d3.scaleLinear(d3.extent(data.filter(d => d.variable === key)[0].data.map(d => d[key])), key === "Infiltration" ? [config.cell.width, 0] : [0, config.cell.width]) ] ) ); //create a group for each chart const chart = svg.selectAll("g") .data(data) .join("g") .attr("transform", (d, i) => { //position the group in its appropriate row and col const h = (i % config.cols) * (config.cell.width + config.cell.padding) + config.margin.left; const v = _.floor(i / config.cols) * (config.cell.height + config.margin.bottom + config.cell.padding) + config.margin.top; return `translate(${h},${v})` }); //run through each group chart.each(function(d, i) { //rename the variable if needed let name = d.variable; if (name in config.format) { if ("newName" in config.format[name]){ name = config.format[name].newName; } } //if there are format specifiers, use them, otherwise just use the default let xa = d3.axisBottom(x.get(d.variable)).ticks(6); if (d.variable in config.format) { if ("ticks" in config.format[d.variable]){ xa.tickFormat(config.format[d.variable].ticks); } } const xAxis = g => g .attr("transform", `translate(0,${config.cell.height})`) .call(xa) .call(g => g.select(".domain").remove()); const yAxis = g => { if (i % config.cols === 0) { g.call(d3.axisLeft(y).ticks(6).tickFormat(d3.format(".1f"))) .call(g => g.select(".domain").remove()); } } //put the y axis label in the top left corner of the first row/col. if (i === 0) { d3.select(this).append("g") .attr("transform", "translate(15, 20)") .append("text") .attr("font-size", 10) .attr("text-anchor", "start") .attr("opacity",1) .html(config.y === "TEDI" ? (config.units === "IP" ? `TEDI + CEDI kBTU/ft²/yr`: `TEDI + CEDI kWh/m²/yr`) : `${config.y}` ); } //general pattern for generating the interpolation line const line = d3.line() .x(dd => x.get(d.variable)(dd[d.variable])) .y(dd => y(eui(dd[config.y]))) .curve(d3.curveCardinal.tension(0)); //horizontal grid lines d3.select(this).selectAll(".grid .horizontal") .data(_.range(8).slice(1).map(d => d * config.cell.height / 8)) .join("line") .attr("class", "grid") .attr("x1", (i % config.cols != 0) ? -config.cell.padding : 0) .attr("y1", d => d) .attr("x2", config.cell.width) .attr("y2", d => d); //vertical grid lines d3.select(this).selectAll(".grid .vertical") .data(_.range(8).slice(1).map(d => d * config.cell.width / 8)) .join("line") .attr("class", "grid") .attr("x1", d => d) .attr("y1", 0) .attr("x2", d => d) .attr("y2", config.cell.height); d3.select(this).append("g").call(xAxis); d3.select(this).append("g").call(yAxis); d3.select(this).append("rect") .attr("class", "frame") .classed("filled", (d.variable === "Infiltration")) .attr("x", 0) .attr("y", 0) .attr("width", config.cell.width) .attr("height", config.cell.height); //add the variable labels d3.select(this).append("text") .attr("x", 0) .attr("y", -15) .attr("text-anchor", "start") .attr("font-size", 12) .style("font-family", "Open Sans") .html(name); d3.select(this).selectAll(".recommended") .data(d.data.filter(dd => dd.Recommended === "yes")) .join("circle") .attr("class", "recommended") .attr("cx", function(dd) { return x.get(d.variable)(dd[d.variable]); }) .attr("cy", function(dd) { return y(eui(dd[config.y])); }) .attr("r",10) .attr("fill", "#b4d6e8") .attr("opacity", 0.8); d3.select(this).append("path") .datum(d.data) .attr("class", "interpolation") .attr("fill", "none") .attr("stroke", d.variable === "Infiltration" ? "#kjahsd": "#1f77b4") .attr("stroke-width", 2) .attr("stroke-linejoin", "round") .attr("stroke-linecap", "round") .attr("d", line); d3.select(this).selectAll("points") .data(d.data) .join("circle") .attr("class", "points") .attr("cx", function(dd) { return x.get(d.variable)(dd[d.variable]); }) .attr("cy", function(dd) { return y(eui(dd[config.y])); }) .attr("r",3) .attr("display", dd => { if (d.variable === "WWR" && dd[d.variable] === 0.35) { return "none"; } else if (d.variable === "Window U" && dd[d.variable] === 1/0.35) { return "none"; } else { return null; } }) .attr("stroke", "#1f77b4") .style("fill", dd => dd.Baseline === "yes" ? "#1f77b4": "#b4d6e8" ); d3.select(this).selectAll("overlay") .data(d.data) .join("circle") .attr("class", "overlay") .attr("r",18) .attr("stroke", "none") .style("fill", "#fff") .style("opacity", 0) .attr("cx", function(dd) { return x.get(d.variable)(dd[d.variable]); }) .attr("cy", function(dd) { return y(eui(dd[config.y])); }) .on("mouseover", dd => { tooltip.style("display", null); let data = dd[d.variable]; if (d.variable in config.format) { if ("ticks" in config.format[d.variable]){ data = config.format[d.variable].ticks(data); } } tooltip.html(`${data} | ${config.y} ${_.round(eui(dd[config.y]))} `) .style("left", (d3.event.pageX) + "px") .style("top", (d3.event.pageY - 28) + "px");; }) .on("mousemove", dd => { tooltip .style("left", (d3.event.pageX) + "px") .style("top", (d3.event.pageY - 28) + "px"); }) .on("mouseout", d => { tooltip.style("display", "none"); }); }); return svg.node(); } 31:T1cf6,parcoords = { const config = { height: 500, width: 960, margin: {top: 60, right: 20, bottom: 10, left: 80}, format: { "Wall R": { ticks: d3.format(".0f"), numTicks: 10, selection: [125, 200]}, "Window U": { ticks: d3.format(".2f"), selection: [225, 300]}, "Window SHGC": { ticks: d3.format(".2f"), selection: [100, 175]}, "WWR": { ticks: d3.format(".2f"), selection: [250, 325]}, "Roof R": { ticks: d3.format(".0f"), numTicks: 10, selection: [225, 300]}, "Infiltration": { newName: "Infiltration (CFM/ft²)", ticks: d3.format(".2f"), selection: [0, 75]}, "EUI": { newName: `${unitSelection.unit === "IP" ? "EUI kBTU/ft²/yr": "EUI kWh/m²/yr"}`, anchor: "end", ticks: d3.format(".1f")}, "Density Demand": { newName: `${unitSelection.unit === "IP" ? "TEDI + CEDI kBTU/ft²/yr": "TEDI + CEDI kWh/m²/yr"}`, anchor: "end", ticks: d3.format(".1f")} }, units: unitSelection.unit }; const container = document.createElement("div"); container.setAttribute("class", "parcoords"); container.setAttribute("style", `width: ${config.width}px; height: ${config.height}px;`); const ctx = DOM.context2d(config.width, config.height); //ctx.transform(1, 0, 0, 1, config.margin.left, config.margin.top); const svg = d3.select(DOM.svg(config.width, config.height)); config.chartHeight = config.height - config.margin.top - config.margin.bottom; config.chartWidth = config.width - config.margin.right - config.margin.left; const dimensions = parametric_data.columns.filter(d => d != "dataset").filter(d => d != "EUI"); const data = parametric_data.map(d => { let dd = d; for (const key in config.format) { if ("convert" in config.format[key]) { dd = {...dd, [key]: config.format[key].convert(dd[key])}; } } return dd; }); const y = new Map( Array.from( dimensions, key => { const reverse = Object.keys(config.format).filter(d => "reverse" in config.format[d]); let range = reverse.indexOf(key) >= 0 ? [0, config.chartHeight] : [config.chartHeight, 0]; return [key, d3.scaleLinear(d3.extent(data, d => d[key]), range).nice()] } ) ); const x = d3.scalePoint().range([0, config.chartWidth]).domain(dimensions).padding(0); const c = svg.append("g").attr("transform", `translate(${config.margin.left}, ${config.margin.top})`); const axis = d3.axisLeft().ticks(5); ctx.globalCompositeOperation = 'darken'; const g = c.selectAll(".dimension") .data(dimensions) .enter().append("g") .attr("class", "dimension") .classed("nonactive", false) .attr("transform", d => `translate(${x(d)})`); g.append("g") .attr("class", "paraxis") .each(function(d) { if (Object.keys(config.format).filter(key => "numTicks" in config.format[key]).indexOf(d) >= 0) { axis.ticks(config.format[d].numTicks); } else { axis.ticks(5); } let ya = axis.scale(y.get(d)); if (Object.keys(config.format).filter(d => "ticks" in config.format[d]).indexOf(d) >= 0) { ya = axis.scale(y.get(d)).tickFormat(config.format[d].ticks); } d3.select(this).call(ya); }) .call(g => g.selectAll("text") .clone(true).lower() .attr("fill", "none") .attr("stroke-width", 4) .attr("stroke-linejoin", "round") .attr("opacity", 0.6) .attr("stroke", "white")) .call(g => g.selectAll("text") .attr("x", -12)); g.append("text") .attr("class", "label") .style("text-anchor", d => { let anchor = "end"; if (Object.keys(config.format).filter(d => "anchor" in config.format[d]).indexOf(d) >= 0) { anchor = config.format[d].anchor; } return anchor }) .attr("y", -25) .attr("font-size", 12) .style("font-family", "Open Sans") .html(d => { let name = d; if (Object.keys(config.format).filter(d => "newName" in config.format[d]).indexOf(d) >= 0) { name = config.format[d].newName; } return name; }); const render = renderQueue(draw).rate(50); ctx.clearRect(0,0,config.width,config.height); render(data); g.append("g") .attr("class", "parbrush") .each(function(d) { y.get(d).brush = d3.brushY().extent([[-10,-1], [10,config.chartHeight + 1]]) .on("brush", brush) .on("end", brush); d3.select(this) .call(y.get(d).brush); if (Object.keys(config.format).filter(d => "selection" in config.format[d]).indexOf(d) >= 0) { d3.select(this).call(y.get(d).brush.move, config.format[d].selection); } }) .selectAll("rect") .attr("x", -10) .attr("width", 20); function brush() { render.invalidate(); const actives = []; svg.selectAll(".parbrush") .filter(function(d) { y.get(d).brushSelectionValue = d3.brushSelection(this); return d3.brushSelection(this); }) .each(function(d) { actives.push({ dimension: d, extent: d3.brushSelection(this).map(y.get(d).invert) }); }); const selected = data.filter(function(d) { return actives.every(function(active) { let result = active.extent[1] <= d[active.dimension] && d[active.dimension] <= active.extent[0]; const reverse = Object.keys(config.format).filter(d => "reverse" in config.format[d]); if (reverse.indexOf(active.dimension) >= 0) { result = active.extent[1] >= d[active.dimension] && d[active.dimension] >= active.extent[0]; } return result; }); }); ctx.clearRect(0,0,config.width,config.height); render(selected); } function draw(d) { if (d.dataset === "interpolated") { //context.globalAlpha = .1; ctx.strokeStyle = "#ddeaf2"; ctx.lineWidth = 1; } else { //context.globalAlpha = 1; ctx.strokeStyle = "#1f77b4"; ctx.lineWidth = 1.5; } ctx.beginPath(); var coords = dimensions.map(p => [x(p) + config.margin.left, y.get(p)(d[p]) + config.margin.top]); coords.forEach(function(p,i) { // this tricky bit avoids rendering null values as 0 if (p === null) { // this bit renders horizontal lines on the previous/next // dimensions, so that sandwiched null values are visible if (i > 0) { var prev = coords[i-1]; if (prev !== null) { ctx.moveTo(prev[0],prev[1]); ctx.lineTo(prev[0]+6,prev[1]); } } if (i < coords.length-1) { var next = coords[i+1]; if (next !== null) { ctx.moveTo(next[0]-6,next[1]); } } return; } if (i == 0) { ctx.moveTo(p[0],p[1]); return; } ctx.lineTo(p[0],p[1]); }); ctx.stroke(); } container.appendChild(ctx.canvas); container.appendChild(svg.node()); return container; }32:Td42,stackedBar = { const config = { height: 450, width: 960, margin: {top: 20, right:150, bottom: 30, left: 50, legend: 0}, units: unitSelection.unit, y: euiSwitch2.y, label: `${stacked_data.label} ${stacked_data.unit}` }; const svg = d3.select(DOM.svg(config.width, config.height)); const x = d3.scaleBand() .domain(stacked_data.columns) .range([config.margin.left, config.width - config.margin.right]) .paddingOuter(.3) .paddingInner(0.75); const y = d3.scaleLinear() .domain([0, d3.max(stacked_data.totals) + eui(5)]) .rangeRound([config.height - config.margin.bottom, config.margin.top]).nice(); const xAxis = g => g .attr("transform", `translate(0,${config.height - config.margin.bottom})`) .call(d3.axisBottom(x).tickSizeOuter(0)); const yAxis = g => g .attr("transform", `translate(${config.margin.left}, 0)`) .call(d3.axisLeft(y).ticks(null, "s").tickSize(-(config.width - config.margin.left - config.margin.right + 20)).tickPadding(10)) .call(g => g.select(".domain").remove()) .call(g => g.selectAll(".tick:not(:first-of-type) line").attr("stroke", "#eaeaea").attr("opacity", 0.7)) .call(g => g.select(".tick:last-of-type text").clone() .attr("x", 4) .attr("y", -15) .attr("text-anchor", "start") .attr("font-weight", "bold") .style("paint-order", "stroke") .style("stroke", "#ffffff") .style("stroke-width", "8px") .html(`${config.label}`)); const legend = svg => { const g = svg .attr("font-family", "Open Sans") .attr("font-size", 10) .attr("text-anchor", "end") .selectAll("g") .data(stacked_data.keys.slice().reverse()) .join("g") .attr("transform", (d, i) => `translate(0,${i * 21})`); g.append("rect") .attr("x", -18) .attr("width", 18) .attr("height", 18) .attr("fill",stackedColor); g.append("text") .attr("x", -28) .attr("y", 8) .attr("dy", "0.35em") .text(d => d); } const totals = svg => { const g = svg .attr("font-family", "Open Sans") .attr("font-size", 10) .attr("text-anchor", "middle") .selectAll("g") .data(stacked_data.totals) .join("g") .attr("transform", (d, i) => `translate(${x(stacked_data.columns[i])},${y(d)})`); g.append("text") .attr("x", x.bandwidth()/2) .attr("y", -15) .attr("dy", "0.35em") .text(d => _.round(d, 2)); } svg.append("g") .call(xAxis); svg.append("g") .call(yAxis); svg.append("g") .selectAll("g") .data(stacked_data) .join("g") .attr("fill", (d, i) => stackedColor(stacked_data.keys[i])) .selectAll("rect") .data(d => d) .join("rect") .attr("x", (d, i) => x(stacked_data.columns[i])) .attr("y", d => y(d[1])) .attr("height", d => y(d[0]) - y(d[1])) .attr("width", x.bandwidth()) .append("title") .html(d => `${_.round(d[1] - d[0], 2)} ${config.label}`); // `${d.name}\n${eui(d.value)} ${config.label}` svg.append("g") .attr("transform", `translate(${config.width - config.margin.legend},${config.margin.top})`) .call(legend); svg.append("g").call(totals) return svg.node(); }33:T4ad,html``34:Tc9f,stacked_data = { let data = (await FileAttachment("stacked_data.csv").csv({typed:true})); if (euiSwitch2.value == "stacked_energy") { const keys = Object.keys(data[0]).filter(d => d != "Case").filter(d => d != "TEDI").filter(d => d != "GHG").filter(d => d != "Cost").filter(d => d != "Source Energy"); const converted = data.map(o => { const a = {...o}; for (const key of keys) { a[key] = eui(o[key]); } return a; }); const stacked1 = d3.stack().keys(keys)(converted); stacked1.columns = data.map(d => d.Case); stacked1.keys = keys; stacked1.totals = converted.map(o => _.round(_.sumBy(keys, key => o[key]), 2)); stacked1.label = "Site EUI"; stacked1.unit = (unitSelection.unit === "IP" ? "kBTU/ft²/yr": "kWh/m²/yr") return stacked1; } else if (euiSwitch2.value == "stacked_TEDI"){ const keys = Object.keys(data[0]).filter(d => d === "TEDI"); const converted = data.map(o => { const a = {...o}; for (const key of keys) { a[key] = eui(o[key]); } return a; }); const stacked2 = d3.stack().keys(keys)(converted); stacked2.columns = data.map(d => d.Case); stacked2.keys = keys; stacked2.totals = converted.map(o => _.round(_.sumBy(keys, key => o[key]), 2)); stacked2.label = "EUI"; stacked2.unit = (unitSelection.unit === "IP" ? "kBTU/ft²/yr": "kWh/m²/yr") return stacked2; } else if (euiSwitch2.value == "stacked_GHG"){ const keys = Object.keys(data[0]).filter(d => d === "GHG"); const converted = data.map(o => { const a = {...o}; for (const key of keys) { a[key] = (o[key]); } return a; }); const stacked3 = d3.stack().keys(keys)(converted); stacked3.columns = data.map(d => d.Case); stacked3.keys = keys; stacked3.totals = converted.map(o => _.round(_.sumBy(keys, key => o[key]), 2)); stacked3.label = "GHG Emissions"; stacked3.unit = `MTCO2e/yr` return stacked3; } else if (euiSwitch2.value == "stacked_cost"){ const keys = Object.keys(data[0]).filter(d => d === "Cost"); const converted = data.map(o => { const a = {...o}; for (const key of keys) { a[key] = cost(o[key]); } return a; }); const stacked4 = d3.stack().keys(keys)(converted); stacked4.columns = data.map(d => d.Case); stacked4.keys = keys; stacked4.totals = converted.map(o => _.round(_.sumBy(keys, key => o[key]), 2)); stacked4.label = "Cost"; stacked4.unit = (unitSelection.unit === "IP" ? "$/ft²/yr" : "$/m²/yr") return stacked4; } else if (euiSwitch2.value == "stacked_source"){ const keys = Object.keys(data[0]).filter(d => d === "Source Energy"); const converted = data.map(o => { const a = {...o}; for (const key of keys) { a[key] = eui(o[key]); } return a; }); const stacked5 = d3.stack().keys(keys)(converted); stacked5.columns = data.map(d => d.Case); stacked5.keys = keys; stacked5.totals = converted.map(o => _.round(_.sumBy(keys, key => o[key]), 2)); stacked5.label = "Source EUI"; stacked5.unit = (unitSelection.unit === "IP" ? "kBTU/ft²/yr": "kWh/m²/yr") return stacked5; } }35:T424,color = { const lookup = { "Electricity":"#d6d231", "DHW":"#d52928", "Heating Energy":"#d52928", "Cooling Energy":"#1dbfcf", "Lights":"#d6d231", "Fans":"#bfbfbf", "Equipment":"#dddddd", "Other Gains":"#a17eb9", "Passive Solar Gains":"#a17eb9", "Lighting Gains":"#a17eb9", "Occupant Gains":"#a17eb9", "Infiltration Losses":"#a17eb9", "Window Losses":"#a17eb9", "Internal Equipment Gains":"#a17eb9", "OA Economizer":"#a17eb9", "Walls":"#f7aa6e", "Roof":"#f7aa6e", "Below Grade":"#f7aa6e", "Infiltration":"#f7aa6e", "Windows":"#f7aa6e", "OA Heating":"#f7aa6e", "Equipment Gains":"#6aadd6", "Lighting":"#6aadd6", "Solar":"#6aadd6", "OA Cooling":"#6aadd6", "Occupants":"#6aadd6", "Cooling Load":"#1f77b4", "Cooling System":"#1f77b4", "Heating Load":"#e55725", "Heating System":"#e55725", "Pumps":"#adadad", "Exterior Usage": "#808080", "Floor on Grade":"#f7aa6e", "Natural Gas": "#e55725" }; return name => lookup[name]; }36:T5ff,renderQueue = function(func) { var _queue = [], // data to be rendered _rate = 1000, // number of calls per frame _invalidate = function() {}, // invalidate last render queue _clear = function() {}; // clearing function var rq = function(data) { if (data) rq.data(data); _invalidate(); _clear(); rq.render(); }; rq.render = function() { var valid = true; _invalidate = rq.invalidate = function() { valid = false; }; function doFrame() { if (!valid) return true; var chunk = _queue.splice(0,_rate); chunk.map(func); timer_frame(doFrame); } doFrame(); }; rq.data = function(data) { _invalidate(); _queue = data.slice(0); // creates a copy of the data return rq; }; rq.add = function(data) { _queue = _queue.concat(data); }; rq.rate = function(value) { if (!arguments.length) return _rate; _rate = value; return rq; }; rq.remaining = function() { return _queue.length; }; // clear the canvas rq.clear = function(func) { if (!arguments.length) { _clear(); return rq; } _clear = func; return rq; }; rq.invalidate = _invalidate; var timer_frame = window.requestAnimationFrame || window.webkitRequestAnimationFrame || window.mozRequestAnimationFrame || window.oRequestAnimationFrame || window.msRequestAnimationFrame || function(callback) { setTimeout(callback, 17); }; return rq; }37:T8cf,function input(config) { let { form, type = "text", attributes = {}, action, getValue, title, description, format, display, submit, options } = config; const wrapper = html`

`; if (!form) form = html``; Object.keys(attributes).forEach(key => { const val = attributes[key]; if (val != null) form.input.setAttribute(key, val); }); if (submit) form.append( html`` ); form.append( html`` ); if (title) form.prepend( html`

${title}

` ); if (description) form.append( html`

${description}

` ); if (format) format = typeof format === "function" ? format : d3format.format(format); if (action) { action(form); } else { const verb = submit ? "onsubmit" : type == "button" ? "onclick" : type == "checkbox" || type == "radio" ? "onchange" : "oninput"; form[verb] = e => { e && e.preventDefault(); const value = getValue ? getValue(form.input) : form.input.value; if (form.output) { const out = display ? display(value) : format ? format(value) : value; if (out instanceof window.Element) { while (form.output.hasChildNodes()) { form.output.removeChild(form.output.lastChild); } form.output.append(out); } else { form.output.value = out; } } form.value = value; if (verb !== "oninput") form.dispatchEvent(new CustomEvent("input", { bubbles: true })); }; if (verb !== "oninput") wrapper.oninput = e => e && e.stopPropagation() && e.preventDefault(); if (verb !== "onsubmit") form.onsubmit = e => e && e.preventDefault(); form[verb](); } while (form.childNodes.length) { wrapper.appendChild(form.childNodes[0]); } form.append(wrapper); return form; }38:[{"id":"fd39e4f9a1b6cd470c91c1a506686fc2546534f956429ec683baa0b1ba85087085bd6a724c07b18696048d6127ea14efbd099db44775d53a9b97e21952cc18d7","href":"https://static.observableusercontent.com/files/fd39e4f9a1b6cd470c91c1a506686fc2546534f956429ec683baa0b1ba85087085bd6a724c07b18696048d6127ea14efbd099db44775d53a9b97e21952cc18d7","name":"parametric_data2.csv","type":"text/csv","lastModified":1759769399216.001,"size":1321},{"id":"7b09fee104790003baa89132daf1ae22bec10a0bb94dfc35711e6609d538b493f5abc87d53536c195620af679549898f11039e1ee3083270c89b4b04832782da","href":"https://static.observableusercontent.com/files/7b09fee104790003baa89132daf1ae22bec10a0bb94dfc35711e6609d538b493f5abc87d53536c195620af679549898f11039e1ee3083270c89b4b04832782da","name":"parametric_data.csv","type":"text/csv","lastModified":1759769399209.7,"size":1992},{"id":"064e666819bfdf72a865056edd48e5ad8a74b0ab9ab462073862a8a2c572f51e6ab17d9fab7ac195570fccdd834220b1d24656f1541cd6568795bffc75c7354b","href":"https://static.observableusercontent.com/files/064e666819bfdf72a865056edd48e5ad8a74b0ab9ab462073862a8a2c572f51e6ab17d9fab7ac195570fccdd834220b1d24656f1541cd6568795bffc75c7354b","name":"sankey_data.csv","type":"text/csv","lastModified":1759769399212.275,"size":998},{"id":"128b47ecf9d556f70f67375668abf5d4c09c28a70bc80bd11f5bd423c1fbed2069ead082bc99ebd1c7bb253707c2f9ecb2d5ea16dec90616b1a28242e1cc91f1","href":"https://static.observableusercontent.com/files/128b47ecf9d556f70f67375668abf5d4c09c28a70bc80bd11f5bd423c1fbed2069ead082bc99ebd1c7bb253707c2f9ecb2d5ea16dec90616b1a28242e1cc91f1","name":"stacked_data.csv","type":"text/csv","lastModified":1759769399920.135,"size":433},{"id":"dbd9a75ba75cfd3d404a1048b7c6f03d8f805bbb2fb702b40ccadf273dfb52a327c27754607b3e11e2822caf48931a8f999d9505de289d632abe548c70dddb3e","href":"https://static.observableusercontent.com/files/dbd9a75ba75cfd3d404a1048b7c6f03d8f805bbb2fb702b40ccadf273dfb52a327c27754607b3e11e2822caf48931a8f999d9505de289d632abe548c70dddb3e","name":"interpolated_data.csv","type":"text/csv","lastModified":1759769399208.084,"size":45840}] 2c:{"id":"ddd4fcf2d69fe536","slug":"cdc-building-108","title":"CDC Building 108","thumbnail":"c35766f17c59a01b8f5f4307b449f84c4c97a3948d875260d8fc63e648f11f2a","access_level":"public","create_time":"$D2020-05-11T14:39:24.125Z","update_time":"$D2025-10-06T16:53:09.853Z","view_time":null,"first_public_time":"$D2020-05-11T18:33:26.632Z","has_unpublished_edits":null,"fork":{"id":"4ae9495f342bd13d","slug":"centennial-college-a-block-expansion","title":"Centennial College A-Block Expansion","owner":{"id":"d158447cd1f3bc11","login":"elementa","name":"Elementa Engineering"}},"stars":2,"starred":false,"owner":{"type":"team","id":"d158447cd1f3bc11","login":"elementa","name":"Elementa Engineering","avatar_url":"https://avatars-next.observableusercontent.com/392be552c44531b13196ece3fde1f8781cde3f3738248df478971dc7871a7a1f","tier":"starter_2024"},"version":1715,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"f725482116d7891b","login":"elementa","name":"Elementa Engineering","avatar_url":"https://avatars-next.observableusercontent.com/392be552c44531b13196ece3fde1f8781cde3f3738248df478971dc7871a7a1f","tier":null}],"members":[{"type":"individual","id":"f725482116d7891b","login":"elementa","name":"Elementa Engineering","avatar_url":"https://avatars-next.observableusercontent.com/392be552c44531b13196ece3fde1f8781cde3f3738248df478971dc7871a7a1f","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":5,"collection":null,"type":"notebook","body":{"title":"CDC Building 108","cells":[{"id":0,"value":"md`# CDC Building 108`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":139,"value":"viewof date = html`May 11, 2020 - Pursuit Phase Energy Analysis`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"viewof unitSelection = form(html``)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":162,"value":"md`\n

\n### Energy End Use Characterization\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":34,"value":"$2e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":57,"value":"viewof figure2 = html`Figure 1: Building energy use characterization showing load components and energy end-uses for the proposed design.

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":173,"value":"md`\n

\n### Envelope Sensitivity\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1670,"value":"viewof euiSwitch = form(html``)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":64,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":55,"value":"sensLegend = {\n \n const svg = d3.select(DOM.svg(960, 50))\n .style(\"font\", \"11px sans-serif\")\n .style(\"margin-bottom\", \"15px\");\n\n const g = svg.append(\"g\")\n .selectAll(\"g\")\n .data([\"Baseline\", \"Target\"])\n .enter().append(\"g\")\n .attr(\"transform\", (d, i) => `translate(${40}, ${i*24 + 10})`);\n\n g.append(\"circle\")\n .attr(\"r\", d => d === \"Baseline\" ? 3: 10)\n .attr(\"stroke\", d => d === \"Baseline\" ? \"#1f77b4\": \"none\")\n .style(\"fill\", d => d === \"Baseline\" ? \"#1f77b4\": \"#b4d6e8\" )\n .style(\"opacity\", d => d === \"Baseline\" ? 1: .6 );;\n\n g.append(\"text\")\n .attr(\"x\", 30)\n .attr(\"y\", 0)\n .attr(\"dy\", \"0.35em\")\n .text(d => d);\n \n return svg.node();\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":59,"value":"viewof figure3 = html`Figure 2: Sensitivity of individual building performance parameters on building TEDI.

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1693,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":177,"value":"md`\n

\n### Parametric Analysis\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":82,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":91,"value":"parLegend = {\n \n const svg = d3.select(DOM.svg(960, 60))\n .style(\"font\", \"11px sans-serif\")\n .style(\"margin-bottom\", \"15px\");\n\n const g = svg.append(\"g\")\n .selectAll(\"g\")\n .data([\"Interpolated Data\", \"Modeled Data\"])\n .enter().append(\"g\")\n .attr(\"transform\", (d, i) => `translate(${40}, ${i*24 + 30})`);\n\n g.append(\"line\")\n .attr(\"x1\", 0)\n .attr(\"x2\", 20)\n .attr(\"y1\", 0)\n .attr(\"y2\", 0)\n .attr(\"stroke\", d => d === \"Interpolated Data\" ? \"#ddeaf2\": \"#1f77b4\")\n .attr(\"stroke-linejoin\", \"round\")\n .attr(\"stroke-linecap\", \"round\")\n .attr(\"stroke-width\", 2)\n\n g.append(\"text\")\n .attr(\"x\", 30)\n .attr(\"y\", 0)\n .attr(\"dy\", \"0.35em\")\n .text(d => d);\n \n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":154,"value":"viewof figure4 = html`Figure 3: Effect of different combinations of parameter properties on building TEDI. Move or expand the selection box for each attribute.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":467,"value":"md`\n

\n#### Energy Performance Benchmarking\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":726,"value":"viewof euiSwitch2 = form(html``)\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":732,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":863,"value":"viewof figure5 = html`
Figure 4: Comparison of Source and Site EUI and GHG emissions for different studied scenarios.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":244,"value":"md`\n

\nDetailed model input assumptions are documented [here.](https://da.introba.com/projects/ccabe/assets/191101_CCABE_EM_Inputs.pdf)

` ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":25,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":11,"value":"_ = require('lodash@4.17.11/lodash.js').catch(() => window._)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"import {form} from \"@mbostock/form-input\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"formatEUI_SI_IP = d => {\n if (unitSelection.unit === \"SI\") {\n return `${d} kWh/m²/yr`;\n }\n else {\n return `${_.round(d * 3.412 / 10.76, 0)} kBtu/ft²/yr`;\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":894,"value":"formatEUI_IP_SI = d => {\n if (unitSelection.unit === \"IP\") {\n return `${d} kBtu/ft²/yr`;\n }\n else {\n return `${_.round(d / 3.412 * 10.76, 2)} kWh/m²/yr`;\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":981,"value":"formatGHG_IP_SI = d => {\n if (unitSelection.unit === \"IP\") {\n return `${d} gCO₂e/ft²/yr`;\n }\n else {\n return `${_.round(d * 7.273362, 2)} gCO₂e/m²/yr`;\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1470,"value":"formatGHG_IP_SI_KG = d => {\n if (unitSelection.unit === \"IP\") {\n return `${d} kgCO₂e/ft²/yr`;\n }\n else {\n return `${_.round(d * 7.273362, 2)} kgCO₂e/m²/yr`;\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":994,"value":"formatAREA_SI_IP = d => {\n if (unitSelection.unit === \"SI\") {\n return `${_.round(d, 0)} m²`;\n }\n else {\n return `${_.round(d * 10.76, 0)} ft²`;\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":28,"value":"sankey_data = {\n let sankey_data = (await FileAttachment(\"sankey_data.csv\").csv({typed:true})).map(({source, target, value}) => ({source: source, target: target, value: +value}));\n \n //http://elementa.nyc/yale/berekely/data/yale_sankey.csv\n //create a list of nodes and links\n const nodes = Array.from(new Set(sankey_data.map(d => [d.source, d.target]).flat()));\n const links = sankey_data.map(({source, target, value}) => ({\n source: nodes.indexOf(source),\n target: nodes.indexOf(target),\n value: value\n }));\n\n sankey_data = {nodes: nodes.map(d => ({name: d})), links: links};\n return sankey_data;\n} ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":31,"value":"sankey = {\n const config = {\n height: 500,\n width: 920,\n margin: {bottom: 10}\n }\n const sankey = d3.sankey()\n .nodeWidth(15)\n .nodePadding(10)\n .extent([[1, 1], [config.width, config.height - config.margin.bottom]])\n .nodeAlign(d3.sankeyLeft);\n return sankey;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":472,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":475,"value":"stackedColor = {\n const lookup = {\n \"Lights\":\"#d6d231\",\n \"Plug Loads\":\"#dddddd\",\n \"Heating\":\"#d52928\",\n \"DHW\":\"#e55725\",\n \"Cooling\":\"#1dbfcf\",\n \"Pumps\":\"#adadad\",\n \"Fans\":\"#bfbfbf\",\n \"TEDI\": \"#d52928\",\n \"Exterior Usage\": \"#808080\",\n \"GHG\": \"#9CBD53\",\n \"Source Energy\": \"gray\",\n \"Cost\": \"pink\"\n };\n\n return name => lookup[name];\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":36,"value":"eui = d => (unitSelection.unit === \"IP\") ? _.round(d * 3.412 * 0.092903, 2) : _.round(d, 2);","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":958,"value":"ghg = d => (unitSelection.unit === \"IP\") ? _.round(d * 7.273362, 2) : _.round(d, 2);","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1433,"value":"cost = d => (unitSelection.unit === \"IP\") ? _.round(d, 2) : _.round(d * 10.76, 2);","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":39,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":66,"value":"sensitivity_data = {\n //add a random version number to avoid caching\n let data = (await FileAttachment(\"parametric_data.csv\").csv({typed:true})); \n //group the data by independent variable\n const grouped = group(data, d => d.Variable);\n data = Array.from(grouped, d => ({variable: d[0], data: d[1].sort((a, b) => a[d[0]] - b[d[0]])}));\n return data;\n} ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1695,"value":"sensitivity_data2 = {\n //add a random version number to avoid caching\n let data = (await FileAttachment(\"parametric_data2.csv\").csv({typed:true})); \n //group the data by independent variable\n const grouped = group(data, d => d.Variable);\n data = Array.from(grouped, d => ({variable: d[0], data: d[1].sort((a, b) => a[d[0]] - b[d[0]])}));\n return data;\n} ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":89,"value":"parametric_data = {\n let parametrics = (await FileAttachment(\"interpolated_data.csv\").csv({typed:true})); \n \n const columns = parametrics.columns;\n const data = parametrics.map(d => ({...d, EUI: eui(d.EUI), \"Density Demand\": eui(d[\"Density Demand\"])}));\n data.columns = columns;\n \n return data;\n} ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":86,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1002,"value":"$37","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":997,"value":"function slider(config = {}) {\n let {value, min = 0, max = 1, step = \"any\", precision = 2, title, description, getValue, format, display, submit} = config;\n if (typeof config == \"number\") value = config;\n if (value == null) value = (max + min) / 2;\n precision = Math.pow(10, precision);\n if (!getValue) getValue = input => Math.round(input.valueAsNumber * precision) / precision;\n return input({\n type: \"range\", title, description, submit, format, display,\n attributes: {min, max, step, value},\n getValue\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":22,"value":"d3 = require('d3@5.9.2','d3-sankey@0.12.1');","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1006,"value":"d3format = require('d3-format@1');","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1082,"value":"import {group, groupSum, groupCount} from \"@mbostock/group\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1167,"value":"import {table} from \"@tmcw/tables@444\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W38","stdlib":"1","titling":"auto"}} 2d:"$2c:body"