The plot shows multiple time series with missing values, where missing values are visualized by line breaks.
You can view a rendered version of this gist at bl.ocks.org.
Last active
August 29, 2015 14:16
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Multi-series line chart with breaks
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| // define margins | |
| var margin = {top: 20, right: 80, bottom: 30, left: 150}; | |
| // graphics size without axis | |
| var width = 960 - margin.left - margin.right; | |
| var height = 500 - margin.top - margin.bottom; | |
| var svg = d3.select("body").append("svg") | |
| .attr("width", width + margin.left + margin.right) | |
| .attr("height", height + margin.top + margin.bottom) | |
| .append("g") | |
| .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
| var x = d3.time.scale() | |
| .range([0, width]); | |
| var y = d3.scale.log() | |
| .range([height, 0]); | |
| var color = d3.scale.category10(); | |
| var xAxis = d3.svg.axis() | |
| .scale(x) | |
| .orient("bottom"); | |
| var yAxis = d3.svg.axis() | |
| .scale(y) | |
| .orient("left") | |
| .ticks(5); | |
| var parseDate = d3.time.format("%Y-%m-%d").parse; | |
| var line = d3.svg.line() | |
| .defined(function(d) { return !isNaN(d.gdp); }) | |
| .interpolate("basis") | |
| .x(function(d) { return x(d.idx); }) | |
| .y(function(d) { return y(d.gdp); }); | |
| var tsdata = d3.csv("/cgroll/raw/491344b798af8dcc8dc4/gdp_us_br_af.csv", function (data) { | |
| color.domain(d3.keys(data[0]).filter(function(key) { return key !== "idx"; })); | |
| data.forEach(function(d) { | |
| d.idx = parseDate(d.idx); | |
| }); | |
| var tseries = color.domain().map(function(name) { | |
| countryData = data.map(function(d) { | |
| return {idx: d.idx, gdp: +d[name]/1000000000}; | |
| }) | |
| return {name: name, | |
| values: countryData | |
| }; | |
| }); | |
| x.domain(d3.extent(data, function(d) { return d.idx; })); | |
| y.domain([ | |
| d3.min(tseries, function(c) { return d3.min(c.values, function(v) { return v.gdp; }); }), | |
| d3.max(tseries, function(c) { return d3.max(c.values, function(v) { return v.gdp; }); }) | |
| ]); | |
| svg.append("g") | |
| .attr("class", "x axis") | |
| .attr("transform", "translate(0," + height + ")") | |
| .call(xAxis); | |
| svg.append("g") | |
| .attr("class", "y axis") | |
| .call(yAxis) | |
| .append("text") | |
| .attr("transform", "rotate(-90)") | |
| .attr("y", 6) | |
| .attr("dy", ".71em") | |
| .style("text-anchor", "end") | |
| .text("GDP in bn $"); | |
| var gdp = svg.selectAll(".gdp") | |
| .data(tseries) | |
| .enter().append("g") | |
| .attr("class", "gdp"); | |
| gdp.append("path") | |
| .attr("class", "line") | |
| .attr("d", function(d) { return line(d.values); }) | |
| .style("stroke", function(d) { return color(d.name); }); | |
| // gdp.append("text") | |
| // .datum(function(d) { return {name: d.name, value: d.values[d.values.length - 1]}; }) | |
| // .attr("transform", function(d) { return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")"; }) | |
| // .attr("x", 3) | |
| // .attr("dy", ".35em") | |
| // .text(function(d) { return d.name; }); | |
| }); | |
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| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| body { | |
| font: 16px sans-serif; | |
| } | |
| .axis path, | |
| .axis line { | |
| fill: none; | |
| stroke: #000; | |
| shape-rendering: crispEdges; | |
| } | |
| .x.axis path { | |
| <!-- display: none; --> | |
| } | |
| .line { | |
| fill: none; | |
| stroke: steelblue; | |
| stroke-width: 1.5px; | |
| } | |
| .grid .tick { | |
| stroke: lightgrey; | |
| stroke-opacity: 0.7; | |
| shape-rendering: crispEdges; | |
| } | |
| .grid path { | |
| stroke-width: 0; | |
| } | |
| </style> | |
| <body> | |
| <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"> | |
| </script> | |
| <script src="assembly_code.js"> | |
| </script> | |
| </body> | |
| </html> |
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