Public
Edited
Sep 23, 2024
16 forks
9 stars
Global temperature trendsBeeswarm, Log ScaleContoursDensity contoursBubble chart componentCircle packing componentExploring Data with Vega-LiteStreaming data into VegaVega-Lite Line ChartBrushable scatterplotVega-Lite ScatterplotNight Skies — Lights and Light Pollution WebGL GlobePhysics based t-SNEGraphvizRidgeline plotZoomable sunburstHierarchical edge bundlingMethods of Comparison, ComparedChord diagramA Guide to Guides: Axes & Legends in VegaPSR B1919+21HexbinStacked-to-grouped barsTree of LifeHeat indexZoomable circle packingMarimekkoVizsla and Vega-LiteDirectly labelling linesParallel coordinatesCollapsible treeTangled tree visualizationMarey’s TrainsWorld History TimelineSmall multiple chart cartogramThe Real MVP in the NBAAnimated treemapDensity Contour Matrix with BrushingStars and constellationsHertzsprung–Russell diagramThe Coronavirus landscapeGitHub BurndownCandlestick ChartConcentration values vs. TimeA few days of CO2 levels in my homeIrregular bins histogramELD ViewerDistributions and summary statistics - a collection of Plot examplesMermaidBivariate Bubble MapD3 galleryCalendarStacked bar chartDot plotConnected scatterplotCandlestick chartHistogramForce-directed graphDisjoint force-directed graphIndex chartSankey diagramLine chart, percent changeStacked area chartBubble chartArea chartHorizontal bar chartRadial tidy treeCircle packingIcicleStreamgraphTidy treeCluster treeSunburstBox plotScatterplotDifference chartBand chartBar chart transitionsTreemapLine chart, multiple seriesScatterplot matrixBrushable scatterplot matrixPlayfair's Wheat and Wages
Horizon chart
chart = {
// Derive series, sorted by date.
const series = d3.rollup(data, (values, i) => d3.sort(values, d => d.date), d => d.name);
// Specify the dimensions of the chart.
const marginTop = 30;
const marginRight = 10;
const marginBottom = 0;
const marginLeft = 10;
const width = 928;
const size = 25; // height of each band.
const height = series.size * size + marginTop + marginBottom; // depends on the number of series
const padding = 1;
// Create the horizontal (temporal) scale.
const x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.range([0, width])
// Create the vertical scale; it describes the “total” height of the area,
// when bands are not superimposed. The area shape will start from the y=size position
// to represent 0 up to *bands* times the maximum band height.
const y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)])
.range([size, size - bands * (size - padding)]);
const area = d3.area()
.defined(d => !isNaN(d.value))
.x((d) => x(d.date))
.y0(size)
.y1((d) => y(d.value));
// A unique identifier (to avoid conflicts) for the clip rect and the reusable paths.
const uid = `O-${Math.random().toString(16).slice(2)}`;
// Create the SVG container.
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [0, 0, width, height])
.attr("style", "max-width: 100%; height: auto; font: 10px sans-serif;");
// Create a G element for each location.
const g = svg.append("g")
.selectAll("g")
.data(series)
.join("g")
.attr("transform", (d, i) => `translate(0,${i * size + marginTop})`);
// Add a rectangular clipPath and the reference area.
const defs = g.append("defs");
defs.append("clipPath")
.attr("id", (_, i) => `${uid}-clip-${i}`)
.append("rect")
.attr("y", padding)
.attr("width", width)
.attr("height", size - padding);
defs.append("path")
.attr("id", (_, i) => `${uid}-path-${i}`)
.attr("d", ([, values]) => area(values));
// Create a group for each location, in which the reference area will be replicated
// (with the SVG:use element) for each band, and translated.
g.append("g")
.attr("clip-path", (_, i) => `url(${new URL(`#${uid}-clip-${i}`, location)})`)
.selectAll("use")
.data((_ ,i) => new Array(bands).fill(i))
.enter().append("use")
.attr("xlink:href", (i) => `${new URL(`#${uid}-path-${i}`, location)}`)
.attr("fill", (_, i) => colors[i])
.attr("transform", (_, i) => `translate(0,${i * size})`);
// Add the labels.
g.append("text")
.attr("x", 4)
.attr("y", (size + padding) / 2)
.attr("dy", "0.35em")
.text(([name]) => name);
// Add the horizontal axis.
svg.append("g")
.attr("transform", `translate(0,${marginTop})`)
.call(d3.axisTop(x).ticks(width / 80).tickSizeOuter(0))
.call(g => g.selectAll(".tick").filter(d => x(d) < marginLeft || x(d) >= width - marginRight).remove())
.call(g => g.select(".domain").remove());
return svg.node();
}
colors = scheme[Math.max(3, bands)].slice(Math.max(0, 3 - bands))
data = FileAttachment("traffic.csv").csv({typed: true})
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.
