Interested in data visualisation, maps, JavasScript, and geology
colorHexbinTernaryPlot = {
const node = DOM.svg(width, height);
const svg = d3.select(node);
const chart = svg
.append("g")
.attr("transform", `translate(${width / 2} ${height / 2 + yOffset})`)
.attr("height", 300)
.attr("font-family", "sans-serif")
.attr("id", "chart");
const defs = chart.append("defs");
defs
.append("clipPath")
.attr("id", "trianglePath")
.append("path")
.attr("d", hexBinTernaryPlot.triangle());
const axisLabelsGroup = chart
.append("g")
.attr("class", "axis-labels")
.call(axisLabels, hexBinTernaryPlot.axisLabels());
const gridLinesPaths = hexBinTernaryPlot
.gridLines()
.map(axisGrid => axisGrid.map(d3.line()).join(" "));
const gridGroup = chart
.append("g")
.attr("class", "grid")
.call(grid, gridLinesPaths);
const axisTicksGroups = chart
.append("g")
.attr("class", "ternary-ticks")
.attr("font-size", 10)
.selectAll("g")
.data(hexBinTernaryPlot.ticks())
.join("g")
.attr("class", "axis-ticks");
axisTicksGroups.call(ticks);
// color-coded hexbins
chart
.append("g")
.attr("stroke", "#000")
.attr("stroke-opacity", 0.1)
.attr("clip-path", "url(#trianglePath)")
.selectAll("path")
.data(bins)
.join("path")
.attr("d", hexbin.hexagon())
.attr("transform", d => `translate(${d.x},${d.y})`)
.attr("fill", d => color(d.length))
.append("title")
.text(d =>
d
.map(
e => `${e.country}: ${e.agriculture}%, ${e.industry}%, ${e.service}%`
)
.join("\n")
);
return node;
}
color = d3.scaleSequential(d3.interpolateBuPu)
.domain([0, d3.max(bins, d => d.length) / 2])
areaHexbinTernaryPlot = {
const node = DOM.svg(width, height);
const svg = d3.select(node);
const chart = svg
.append("g")
.attr("transform", `translate(${width / 2} ${height / 2 + yOffset})`)
.attr("height", 300)
.attr("font-family", "sans-serif")
.attr("id", "chart");
const defs = chart.append("defs");
defs
.append("clipPath")
.attr("id", "trianglePath")
.append("path")
.attr("d", hexBinTernaryPlot.triangle());
const axisLabelsGroup = chart
.append("g")
.attr("class", "axis-labels")
.call(axisLabels, hexBinTernaryPlot.axisLabels());
const gridLinesPaths = hexBinTernaryPlot
.gridLines()
.map(axisGrid => axisGrid.map(d3.line()).join(" "));
const gridGroup = chart
.append("g")
.attr("class", "grid")
.call(grid, gridLinesPaths);
const axisTicksGroups = chart
.append("g")
.attr("class", "ternary-ticks")
.attr("font-size", 10)
.selectAll("g")
.data(hexBinTernaryPlot.ticks())
.join("g")
.attr("class", "axis-ticks");
axisTicksGroups.call(ticks);
// area-coded hexbins
chart
.append("g")
.attr("clip-path", "url(#trianglePath)")
.attr("fill", "#ddd")
.attr("stroke", "black")
.selectAll("path")
.data(bins)
.join("path")
.attr("transform", d => `translate(${d.x},${d.y})`)
.attr("d", d => hexbin.hexagon(r(d.length)))
.append("title")
.text(d =>
d
.map(
e => `${e.country}: ${e.agriculture}%, ${e.industry}%, ${e.service}%`
)
.join("\n")
);
return node;
}
r = d3.scaleSqrt()
.domain([0, d3.max(bins, d => d.length)])
.range([0, hexbin.radius() * Math.SQRT2])
hexBinTernaryPlot = ternaryPlot(ternary).labels([
"Agriculture",
"Industry",
"Service"
])
ternary = barycentric()
.a(d => d.agriculture)
.b(d => d.industry)
.c(d => d.service)
xydata = data.map(d => {
const [x, y] = hexBinTernaryPlot(d);
return Object.assign({ x, y }, d);
})
hexbin = d3.hexbin()
.x(d => d.x)
.y(d => d.y)
.radius(hexagonRadius * width / (height - 1));
bins = hexbin(xydata)
gridLines = hexBinTernaryPlot
.gridLines()
.map(axisGrid => axisGrid.map(d3.line()).join(" "))
height = width * 2/3;
d3Ternary = import("d3-ternary")
barycentric = d3Ternary.barycentric
ternaryPlot = d3Ternary.ternaryPlot
import {
ticks,
grid,
axisLabels,
yOffset
} from "@julesblm/d3-ternary"
d3 = require('d3@6', "d3-hexbin@0.2")
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.