2e:null 2f:["$","title",null,{"children":"D3 Horizon Chart | A M | Observable"}] 34:T416,chart = { const svg = d3.select(DOM.svg(width, height)) .style("font", "10px sans-serif"); const g = svg.append("g") .selectAll("g") .data(data.series) .enter().append("g") .attr("transform", (d, i) => `translate(0,${i * (step + 1) + margin.top})`); g.append("clipPath") .attr("id", d => (d.clip = DOM.uid("clip")).id) .append("rect") .attr("width", width) .attr("height", step); g.append("defs").append("path") .attr("id", d => (d.path = DOM.uid("path")).id) .attr("d", d => area(d.values)); g.append("g") .attr("clip-path", d => d.clip) .selectAll("use") .data(d => new Array(overlap).fill(d)) .enter().append("use") .attr("fill", (d, i) => color(i)) .attr("transform", (d, i) => `translate(0,${(i + 1) * step})`) .attr("xlink:href", d => d.path.href); g.append("text") .attr("x", 4) .attr("y", step / 2) .attr("dy", "0.35em") .text(d => d.name); svg.append("g") .call(xAxis); return svg.node(); }35:[] 32:{"id":"cdaca2e89af0088b","slug":"d3-horizon-chart","title":"D3 Horizon Chart","thumbnail":"83ba7dfe9bfdbf98baa461466dffb7c72c7de80261717546887ef5a750a02f02","access_level":"public","create_time":"$D2018-10-28T01:58:02.471Z","update_time":"$D2018-10-28T01:58:02.471Z","view_time":null,"first_public_time":"$D2020-10-18T03:39:25.595Z","has_unpublished_edits":null,"fork":true,"stars":0,"starred":false,"owner":{"type":"team","id":"c23364969e32d439","login":"asifm","name":"A M","avatar_url":"https://avatars-next.observableusercontent.com/f3cbb17995b9da19b6e0a159b4c2191fe8f34bead7d4ab6fd801259c39372e30","tier":"starter_2024"},"version":381,"publish_version":381,"role":null,"authored":false,"authors":[{"type":"individual","id":"74662239b89f0061","login":"asifm","name":"A M","avatar_url":"https://avatars-next.observableusercontent.com/f3cbb17995b9da19b6e0a159b4c2191fe8f34bead7d4ab6fd801259c39372e30","tier":null}],"members":[{"type":"individual","id":"74662239b89f0061","login":"asifm","name":"A M","avatar_url":"https://avatars-next.observableusercontent.com/f3cbb17995b9da19b6e0a159b4c2191fe8f34bead7d4ab6fd801259c39372e30","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"title":"D3 Horizon Chart","cells":[{"id":0,"value":"md`# D3 Horizon Chart\n\nHorizon charts are an alternative to [ridgeline plots](/@mbostock/d3-ridgeline-plot) and small-multiple area charts that allow greater precision for a given vertical space by using colored bands. These charts can also be used with diverging color scales to [differentiate positive and negative values](/@mbostock/d3-horizon-chart-ii).\n\nData: [Moritz Klack](/@moklick)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":159,"value":"viewof overlap = html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":14,"value":"$34","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":285,"value":"viewof scheme = html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":43,"value":"height = data.series.length * (step + 1) + margin.top + margin.bottom","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":45,"value":"margin = ({top: 30, right: 10, bottom: 0, left: 10})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":227,"value":"step = 23","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":234,"value":"color = i => d3[scheme][Math.max(3, overlap)][i + Math.max(0, 3 - overlap)]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":38,"value":"x = d3.scaleUtc()\n .domain(d3.extent(data.dates))\n .range([0, width])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":67,"value":"y = d3.scaleLinear()\n .domain([0, d3.max(data.series, d => d3.max(d.values))])\n .range([0, -overlap * step])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":52,"value":"xAxis = g => g\n .attr(\"transform\", `translate(0,${margin.top})`)\n .call(d3.axisTop(x).ticks(width / 80).tickSizeOuter(0))\n .call(g => g.selectAll(\".tick\").filter(d => x(d) < margin.left || x(d) >= width - margin.right).remove())\n .call(g => g.select(\".domain\").remove())","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":57,"value":"area = d3.area()\n .curve(d3.curveBasis)\n .defined(d => !isNaN(d))\n .x((d, i) => x(data.dates[i]))\n .y0(0)\n .y1(d => y(d))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"data = {\n const data = await d3.csv(\n \"https://gist.githubusercontent.com\"\n + \"/chrtze/c74efb46cadb6a908bbbf5227934bfea/raw\"\n + \"/c32d94689dd432609c55d1758d8e69c59f94f802\"\n + \"/traffic_weekly.csv\",\n ({name, date, total_1, total_2}) =>\n ({name, date: date * 1000, value: +total_1 + +total_2})\n );\n\n const dates = d3.nest()\n .key(d => d.date)\n .entries(data)\n .map(d => new Date(+d.key))\n .sort(d3.ascending);\n\n const values = d3.nest()\n .key(d => d.name)\n .key(d => d.date)\n .rollup(v => v[0].value)\n .map(data);\n\n const sums = d3.nest()\n .key(d => d.name)\n .rollup(v => d3.sum(v, d => d.value))\n .map(data);\n\n return {\n series: values.entries()\n .sort((a, b) => sums.get(b.key) - sums.get(a.key))\n .map(({key, value}) => ({\n name: key,\n values: dates.map(d => value.get(+d))\n })),\n dates\n };\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"d3 = require(\"d3@5\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W35","stdlib":"1","titling":"auto"}} 33:"$32:body"