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margin.right])\n .padding(0.08)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":107,"value":"y = d3.scaleLinear()\n .domain([0, y1Max])\n .range([height - margin.bottom, margin.top])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":110,"value":"z = d3.scaleSequential(d3.interpolateBlues)\n .domain([-0.5 * n, 1.5 * n])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":178,"value":"xAxis = svg => svg.append(\"g\")\n .attr(\"transform\", `translate(0,${height - margin.bottom})`)\n .call(d3.axisBottom(x).tickSizeOuter(0).tickFormat(() => \"\"))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":62,"value":"n = 5 // number of series","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":66,"value":"m = 58 // number of values per series","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":113,"value":"height = 500","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":118,"value":"margin = ({top: 0, right: 0, bottom: 10, left: 0})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":69,"value":"// Returns an array of m psuedorandom, smoothly-varying non-negative numbers.\n// Inspired by Lee Byron’s test data generator.\n// http://leebyron.com/streamgraph/\nfunction bumps(m) {\n const values = [];\n\n // Initialize with uniform random values in [0.1, 0.2).\n for (let i = 0; i < m; ++i) {\n values[i] = 0.1 + 0.1 * Math.random();\n }\n\n // Add five random bumps.\n for (let j = 0; j < 5; ++j) {\n const x = 1 / (0.1 + Math.random());\n const y = 2 * Math.random() - 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