Published
Edited
Dec 16, 2021
margin = ({ top: 48, bottom: 48, left: 48, right: 48})
d3Legend = require('d3-svg-legend')
redlined_and_surfaceTemperature = {
// we create an SVG with the width and height specified
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
svg.append("g")
.selectAll("path")
.data(neighborhoods.features)
.join("path")
// This line renders our population data
.attr("fill", d => surfaceTempColor(surfaceTempByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))))
.attr("d", path)
.append("title")
.text(d => `Surface Temperature (°F): ${d3.format(".1f")(surfaceTempByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, '')))}`);
// this part renders the redlining borders over top
svg.append("g")
.selectAll("path")
.data(redlinedNeighborhoods.features)
.join("path")
.attr("fill", "none")
.attr("stroke", d => d.properties.holc_grade == "D" ? "maroon" : "none")
.attr("stroke-width", "4px")
.attr("stroke-linejoin", "arcs")
.attr("stroke-opacity", 0.8)
.attr("d", path);
const scale = d3.scaleSequentialLog(surfaceTempExtent, d3.interpolateReds)
const legend = d3Legend
.legendColor()
.shapePadding(27)
.labelAlign("start")
.shapeWidth(27)
.labelOffset(20)
.cells(10)
.orient("horizontal")
.scale(scale)
svg.append("g")
.attr("class", "legend_auto")
.style('font-size', 11)
.attr("transform", `translate(${width/2-60}, ${height/2+230})`)
.call(legend)
.attr("font-family", "Arial")
svg.append("text")
.text("Surface Temperature (°F)")
.style('font-size', 17)
.attr("transform", `translate(${width/2-60}, ${height/2+220})`)
.attr("font-family", "Arial")
.attr("font-weight", "Bold")
// we need to return a DOM element.
// the .node() function returns the DOM element corresponding to the d3 selection.
return svg.node();
}
redlining_airQuality = {
// we create an SVG with the width and height specified
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
svg.append("g")
.selectAll("path")
.data(neighborhoods.features)
.join("path")
// This line renders our population data
.attr("fill", d => airQualityColor(airQualityByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))))
.attr("d", path)
.append("title")
.text(d => `Air Quality Score: ${airQualityByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))}`);
// this part renders the census borders over top
svg.append("g")
.selectAll("path")
.data(redlinedNeighborhoods.features)
.join("path")
.attr("fill", "none")
.attr("stroke", d => d.properties.holc_grade == "D" ? "white" : "none")
.attr("stroke-width", "2px")
.attr("stroke-linejoin", "round")
.attr("d", path);
const scale = d3.scaleSequentialLog(airQualityExtent, d3.interpolateOranges)
const legend = d3Legend
.legendColor()
.shapePadding(27)
.labelAlign("start")
.shapeWidth(27)
.labelOffset(20)
.cells(10)
.orient("horizontal")
.scale(scale)
svg.append("g")
.attr("class", "legend_auto")
.style('font-size', 11)
.attr("transform", `translate(${width/2-60}, ${height/2+230})`)
.call(legend)
.attr("font-family", "Arial")
svg.append("text")
.text("Air Quality (MCPA Rating 0-5)")
.style('font-size', 17)
.attr("transform", `translate(${width/2-60}, ${height/2+220})`)
.attr("font-family", "Arial")
.attr("font-weight", "Bold")
// we need to return a DOM element.
// the .node() function returns the DOM element corresponding to the d3 selection.
return svg.node();
}
diffMaps = ["incomeColor(incomeByNeighborhood", "airQualityColor(airQualityByNeighborhood"]
viewof filteredData = Inputs.radio(diffMaps, {label: "Filters"})
test2 = {
// we create an SVG with the width and height specified
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
svg.append("g")
.selectAll("path")
.data(neighborhoods.features)
.join("path")
// This line renders our population data
.attr("fill", d => filteredData.get(d.properties.TRACTCE.replace(/^0+/, ''))))
.attr("d", path)
.append("title")
.text(d => `Median Household Income ($): ${incomeByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))}`);
// this part renders the redlining borders over top
svg.append("g")
.selectAll("path")
.data(redlinedNeighborhoods.features)
.join("path")
.attr("fill", "none")
.attr("stroke", d => d.properties.holc_grade == "D" ? "white" : "none")
.attr("stroke-width", "2px")
.attr("stroke-linejoin", "round")
.attr("d", path);
const scale = d3.scaleSequentialLog(incomeExtent, d3.interpolateBlues)
const legend = d3Legend
.legendColor()
.shapePadding(40)
.labelAlign("start")
.shapeWidth(40)
.labelOffset(20)
.labelFormat(".1r")
.cells(10)
.orient("horizontal")
.scale(scale)
svg.append("g")
.attr("class", "legend_auto")
.style('font-size', 12)
.attr("transform", `translate(${width/2-100}, ${height/2+250})`)
.call(legend)
svg.append("text")
.text("Median Household Income ($)")
.style('font-size', 12)
.attr("transform", `translate(${width/2-100}, ${height/2+245})`)
// we need to return a DOM element.
// the .node() function returns the DOM element corresponding to the d3 selection.
return svg.node();
}
html `<div>
<input type="checkbox" class="checkbox" value="A" onclick="redline_and_income()"><label>Income</label>
<input type="checkbox" class="checkbox" value="B" onclick="redlined_and_whitePop()"><label>White</label>
<input type="checkbox" class="checkbox" value="C" onclick="redlined_and_treeCover()"><label>Tree</label>
</div>`
redline_and_income = {
// we create an SVG with the width and height specified
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
svg.append("g")
.selectAll("path")
.data(neighborhoods.features)
.join("path")
// This line renders our population data
.attr("fill", d => incomeColor(incomeByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))))
.attr("d", path)
.append("title")
.text(d => `Median Household Income ($): ${incomeByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))}`);
// this part renders the redlining borders over top
svg.append("g")
.selectAll("path")
.data(redlinedNeighborhoods.features)
.join("path")
.attr("fill", "none")
.attr("stroke", d => d.properties.holc_grade == "D" ? "midnightblue" : "none")
.attr("stroke-width", "4px")
.attr("stroke-linejoin", "arcs")
.attr("stroke-opacity", 0.8)
.attr("d", path);
const scale = d3.scaleSequentialLog(incomeExtent, d3.interpolateBlues)
const legend = d3Legend
.legendColor()
.shapePadding(40)
.labelAlign("start")
.shapeWidth(40)
.labelOffset(20)
.labelFormat(".1r")
.cells(10)
.orient("horizontal")
.scale(scale)
svg.append("g")
.attr("class", "legend_auto")
.style('font-size', 11)
.attr("transform", `translate(${width/2-112}, ${height/2+230})`)
.call(legend)
.attr("font-family", "Arial")
svg.append("text")
.text("Median Household Income ($)")
.style('font-size', 17)
.attr("transform", `translate(${width/2-112}, ${height/2+220})`)
.attr("font-family", "Arial")
.attr("font-weight", "Bold")
// we need to return a DOM element.
// the .node() function returns the DOM element corresponding to the d3 selection.
return svg.node();
}
legend({
color: whitePopColors,
width: width - 20,
tickFormat: ",d",
ticks: 7,
title: "White Population (%)"})
whitePopColors = d3.scaleSequential(whitePopExtent, d3.interpolatePurples)
redlined_and_whitePop = {
// we create an SVG with the width and height specified
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
svg.append("g")
.selectAll("path")
.data(neighborhoods.features)
.join("path")
// This line renders our population data
.attr("fill", d => whitePopColors(whitePopByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))))
.attr("d", path)
.append("title")
.text(d => `White Population (%): ${d3.format(".1f")(whitePopByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, '')))}`);
// this part renders the redlining borders over top
svg.append("g")
.selectAll("path")
.data(redlinedNeighborhoods.features)
.join("path")
.attr("fill", "none")
.attr("stroke", d => d.properties.holc_grade == "D" ? "purple" : "none")
.attr("stroke-width", "4px")
.attr("stroke-linejoin", "arcs")
.attr("stroke-opacity", 0.8)
.attr("d", path);
const scale = d3.scaleSequentialLog(whitePopExtent, d3.interpolatePurples)
const legend = d3Legend
.legendColor()
.shapePadding(30)
.labelAlign("start")
.shapeWidth(30)
.labelOffset(20)
.cells(10)
.orient("horizontal")
.scale(scale)
svg.append("g")
.attr("class", "legend_auto")
.style('font-size', 11)
.attr("transform", `translate(${width/2-65}, ${height/2+230})`)
.call(legend)
.attr("font-family", "Arial")
svg.append("text")
.text("White Population (%)")
.style('font-size', 17)
.attr("transform", `translate(${width/2-65}, ${height/2+220})`)
.attr("font-family", "Arial")
.attr("font-weight", "Bold")
// we need to return a DOM element.
// the .node() function returns the DOM element corresponding to the d3 selection.
return svg.node();
}
redlined_and_treeCover = {
// we create an SVG with the width and height specified
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
svg.append("g")
.selectAll("path")
.data(neighborhoods.features)
.join("path")
// This line renders our population data
.attr("fill", d => treeCoverColor(treeCoverByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))))
.attr("d", path)
.append("title")
.text(d => `Tree Cover (%): ${d3.format(".1f")(treeCoverByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, '')))}`);
// this part renders the redlining borders over top
svg.append("g")
.selectAll("path")
.data(redlinedNeighborhoods.features)
.join("path")
.attr("fill", "none")
.attr("stroke", d => d.properties.holc_grade == "D" ? "darkgreen" : "none")
.attr("stroke-width", "4px")
.attr("stroke-linejoin", "arcs")
.attr("stroke-opacity", 0.8)
.attr("d", path);
const scale = d3.scaleSequentialLog(treeCoverExtent, d3.interpolateGreens)
const legend = d3Legend
.legendColor()
.shapePadding(30)
.labelAlign("start")
.shapeWidth(30)
.labelOffset(20)
.cells(10)
.orient("horizontal")
.scale(scale)
svg.append("g")
.attr("class", "legend_auto")
.style('font-size', 11)
.attr("transform", `translate(${width/2-65}, ${height/2+230})`)
.call(legend)
.attr("font-family", "Arial")
svg.append("text")
.text("Tree Coverage (%)")
.style('font-size', 17)
.attr("transform", `translate(${width/2-65}, ${height/2+220})`)
.attr("font-family", "Arial")
.attr("font-weight", "Bold")
// we need to return a DOM element.
// the .node() function returns the DOM element corresponding to the d3 selection.
return svg.node();
}
imperviousSurfaceArea = {
// we create an SVG with the width and height specified
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
svg.append("g")
.selectAll("path")
.data(neighborhoods.features)
.join("path")
// This line renders our population data
.attr("fill", d => imperviousAreaColor(imperviousAreaByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))))
.attr("d", path)
.append("title")
.text(d => `Impervious Surface Area (%): ${d3.format(".1f")(imperviousAreaByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, '')))}`);
// this part renders the census borders over top
svg.append("path")
.datum(neighborhoods)
.attr("fill", "none")
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr("d", path);
const scale = d3.scaleSequentialLog(imperviousAreaExtent, d3.interpolateGreys)
const legend = d3Legend
.legendColor()
.shapePadding(30)
.labelAlign("start")
.shapeWidth(30)
.labelOffset(20)
.cells(10)
.orient("horizontal")
.scale(scale)
svg.append("g")
.attr("class", "legend_auto")
.style('font-size', 11)
.attr("transform", `translate(${width/2-65}, ${height/2+230})`)
.call(legend)
.attr("font-family", "Arial")
svg.append("text")
.text("Impervious Surface Area (%)")
.style('font-size', 17)
.attr("transform", `translate(${width/2-65}, ${height/2+220})`)
.attr("font-family", "Arial")
.attr("font-weight", "Bold")
// we need to return a DOM element.
// the .node() function returns the DOM element corresponding to the d3 selection.
return svg.node();
}
redlined_and_imperviousSurfaceArea = {
// we create an SVG with the width and height specified
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
svg.append("g")
.selectAll("path")
.data(neighborhoods.features)
.join("path")
// This line renders our population data
.attr("fill", d => imperviousAreaColor(imperviousAreaByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, ''))))
.attr("d", path)
.append("title")
.text(d => `Impervious Surface Area (%): ${d3.format(".1f")(imperviousAreaByNeighborhood.get(d.properties.TRACTCE.replace(/^0+/, '')))}`);
// this part renders the redlining borders over top
svg.append("g")
.selectAll("path")
.data(redlinedNeighborhoods.features)
.join("path")
.attr("fill", "none")
.attr("stroke", d => d.properties.holc_grade == "D" ? "white" : "none")
.attr("stroke-width", "4px")
.attr("stroke-linejoin", "arcs")
.attr("stroke-opacity", 0.8)
.attr("d", path);
const scale = d3.scaleSequentialLog(imperviousAreaExtent, d3.interpolateGreys)
const legend = d3Legend
.legendColor()
.shapePadding(30)
.labelAlign("start")
.shapeWidth(30)
.labelOffset(20)
.cells(10)
.orient("horizontal")
.scale(scale)
svg.append("g")
.attr("class", "legend_auto")
.style('font-size', 11)
.attr("transform", `translate(${width/2-65}, ${height/2+230})`)
.call(legend)
.attr("font-family", "Arial")
svg.append("text")
.text("Impervious Surface Area (%)")
.style('font-size', 17)
.attr("transform", `translate(${width/2-65}, ${height/2+220})`)
.attr("font-family", "Arial")
.attr("font-weight", "Bold")
// we need to return a DOM element.
// the .node() function returns the DOM element corresponding to the d3 selection.
return svg.node();
}
viewof colors = {
const form = html`<form><select name=i>${schemes.map(c => Object.assign(html`<option>`, {textContent: c.name}))}</select> <span style="font-size:smaller;font-style:oblique;">color scheme</output>`;
form.i.selectedIndex = 2;
form.oninput = () => form.value = schemes[form.i.selectedIndex].colors;
form.oninput();
return form;
}
bi_variate = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.selectAll("path")
.data(neighborhoods.features)
.join("path")
.attr("fill", d => color(data.get(d.properties.TRACTCE.replace(/^0+/, ''))))
.attr("d", path)
.append("title")
.text(d => `(Surface Temp, Air Quality): ${data.get(d.properties.TRACTCE.replace(/^0+/, ''))}`);
svg.append("g")
.selectAll("path")
.data(redlinedNeighborhoods.features)
.join("path")
.attr("fill", "none")
.attr("stroke", d => d.properties.holc_grade == "D" ? "white" : "none")
.attr("stroke-width", "4px")
.attr("stroke-linejoin", "arcs")
.attr("stroke-opacity", 0.9)
.attr("d", path);
svg.append(legend2)
.attr("transform", "translate(650,600)");
return svg.node();
}
legend2 = () => {
const k = 24;
const arrow = DOM.uid();
return svg`<g font-family=sans-serif font-size=10>
<g transform="translate(-${k * n / 2},-${k * n / 2}) rotate(-45 ${k * n / 2},${k * n / 2})">
<marker id="${arrow.id}" markerHeight=10 markerWidth=10 refX=6 refY=3 orient=auto>
<path d="M0,0L9,3L0,6Z" />
</marker>
${d3.cross(d3.range(n), d3.range(n)).map(([i, j]) => svg`<rect width=${k} height=${k} x=${i * k} y=${(n - 1 - j) * k} fill=${colors[j * n + i]}>
<title>Surface Temp(°F)${labels[j] && ` (${labels[j]})`}
Air Quality(1-5)${labels[i] && ` (${labels[i]})`}</title>
</rect>`)}
<line marker-end="${arrow}" x1=0 x2=${n * k} y1=${n * k} y2=${n * k} stroke=black stroke-width=1.5 />
<line marker-end="${arrow}" y2=0 y1=${n * k} stroke=black stroke-width=1.5 />
<text font-weight="bold" dy="0.71em" transform="rotate(90) translate(${n / 2 * k},6)" text-anchor="middle">Surface Temp(°F)</text>
<text font-weight="bold" dy="0.71em" transform="translate(${n / 2 * k},${n * k + 6})" text-anchor="middle">Air Quality(1-5)</text>
</g>
</g>`;
}
format = (value) => {
if (!value) return "N/A";
let [a, b] = value;
return `${a} ${data.title[0]}${labels[x(a)] && ` (${labels[x(a)]})`}
${b} ${data.title[1]}${labels[y(b)] && ` (${labels[y(b)]})`}`;
}
labels = ["low", "", "high"]
n = Math.floor(Math.sqrt(colors.length))
color = {
return value => {
if (!value) return "#ccc";
let [a, b] = value;
return colors[y(b) + x(a) * n];
};
}
// data = Object.assign(new Map(allVars, ({"TRACTCEA9FinalGeojson1", WhitePopuA9FinalGeojson1, MedianHouA9FinalGeojson1}) => [TRACTCEA9FinalGeojson1, [WhitePopuA9FinalGeojson1, MedianHouA9FinalGeojson1]]), {title: ["Black Population", "% White Population"]})
y = d3.scaleQuantile(Array.from(data.values(), d => d[1]), d3.range(n))
x = d3.scaleQuantile(Array.from(data.values(), d => d[0]), d3.range(n))
schemes = [
{
name: "RdBu",
colors: [
"#e8e8e8", "#e4acac", "#c85a5a",
"#b0d5df", "#ad9ea5", "#985356",
"#64acbe", "#627f8c", "#574249"
]
},
{
name: "BuPu",
colors: [
"#e8e8e8", "#ace4e4", "#5ac8c8",
"#dfb0d6", "#a5add3", "#5698b9",
"#be64ac", "#8c62aa", "#3b4994"
]
},
{
name: "GnBu",
colors: [
"#e8e8e8", "#b5c0da", "#6c83b5",
"#b8d6be", "#90b2b3", "#567994",
"#73ae80", "#5a9178", "#2a5a5b"
]
},
{
name: "PuOr",
colors: [
"#e8e8e8", "#e4d9ac", "#c8b35a",
"#cbb8d7", "#c8ada0", "#af8e53",
"#9972af", "#976b82", "#804d36"
]
}
]
data = {
let rows = allVars7.map(row => [String(d3.format("")(row["TRACTCE (a9 final.geojson1)"])), [Number((row["_Median (A9 Final.Geojson1)"]-273.15)*(9/5)+32), Number(row["MCPA rating (Pollution Data - Sheet1.csv1)"])]])
return new Map(rows)
}
neighborhoods.features[1].properties.TRACTCE.replace(/^0+/, '')
d3.format(".1f")(surfaceTempByNeighborhood.get("980000"))
surfaceTempByNeighborhood.get(neighborhoods.features[11].properties.TRACTCE.slice(1))
surfaceTempByNeighborhood = {
let rows = allVars5.map(row => [String(d3.format("")(row["TRACTCE (a9 final.geojson1)"])), Number((row["_Median (A9 Final.Geojson1)"]-273.15)*(9/5)+32)])
return new Map(rows)
}
incomeByNeighborhood = {
let rows = allVars6.map(row => [String(d3.format("")(row["TRACTCE (a9 final.geojson1)"])), Number(row["Median Hou (A9 Final.Geojson1)"])])
return new Map(rows)
}
whitePopByNeighborhood = {
let rows = allVars.map(row => [String(d3.format("")(row["TRACTCE (a9 final.geojson1)"])), Number((row["White Popu (A9 Final.Geojson1)"]/row["Total Popu (A9 Final.Geojson1)"])*100)])
return new Map(rows)
}
airQualityByNeighborhood = {
let rows = allVars2.map(row => [String(d3.format("")(row["TRACTCE (a9 final.geojson1)"])), Number(row["MCPA rating (Pollution Data - Sheet1.csv1)"])])
return new Map(rows)
}
treeCoverByNeighborhood = {
let rows = allVars3.map(row => [String(d3.format("")(row["TRACTCE (a9 final.geojson1)"])), Number(row["Percent tree cover"])])
return new Map(rows)
}
imperviousAreaByNeighborhood = {
let rows = allVars4.map(row => [String(d3.format("")(row["TRACTCE (a9 final.geojson1)"])), Number(row["Percent impervious area"])])
return new Map(rows)
}
Income_and_Temp_chart = Scatterplot(merged_data, {
x: d => d['White Popu (A9 Final.Geojson1)']/d["Total Popu (A9 Final.Geojson1)"]*100,
y: d => (d['_Median (A9 Final.Geojson1)']-273.15)*(9/5)+32,
xLabel: "White Population (%) →",
yLabel: "↑ Surface Temperature (F)",
xDomain: [0,100],
yDomain: [85, 95],
stroke: "none",
strokeWidth: 8,
fill: d => scatter_color('Median Hou (A9 Final.Geojson1)'),
width,
height: 600,
})
scatter_color = d3.scaleSequential()
.domain(d3.extent(merged_data, d => d['Median Hou (A9 Final.Geojson1)']))
.interpolator(d3.interpolateBlues);
Plot.plot(merged_data{
y: {
label: "↑ Temperature (°F)",
transform: f => f -273.15 *(9/5)+32 // convert Celsius to Fahrenheit
},
})
Red_Line_and_Demographic_chart = PieChart(merged_data, {
name: d => d['Holc Grade'] == "D" ,
value: d => d.whitePopByNeighborhood,
.append("title")
.text(d => `White Population (%): ${d3.format(".1f"));
width,
height: 500
})
import {PieChart} from "@d3/pie-chart"
import {Scatterplot} from "@d3/scatterplot"
import {Choropleth} from "@d3/choropleth"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
