Based on a question from Stack Overflow regarding multiple pie charts on a map
http://stackoverflow.com/questions/41949622/piechart-over-a-map-point-using-d3-js
Last active
March 17, 2017 02:26
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d3v3 Multiple Pie Charts on Map - Data from CSV
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <style> | |
| svg { | |
| background: #9ecae1; | |
| } | |
| .mesh { | |
| fill:none; | |
| stroke: white; | |
| stroke-width: 0.5px; | |
| } | |
| .land { | |
| fill: #41ab5d; | |
| } | |
| </style> | |
| <script src="https://d3js.org/d3.v3.min.js"></script> | |
| <script src="https://d3js.org/topojson.v1.min.js"></script> | |
| </head> | |
| <body> | |
| <script type="text/javascript"> | |
| var width = 960; | |
| var height = 500; | |
| var radius = 30; | |
| // SVG variables | |
| var svg = d3.select("body").append("svg") | |
| .attr("width", width) | |
| .attr("height", height); | |
| var g1 = svg.append("g"); // background | |
| var g2 = svg.append("g"); // pie charts | |
| // Projection variables | |
| var projection = d3.geo.mercator() | |
| .center([81,22]) | |
| .scale(800) | |
| .translate([width/2,height/2]); | |
| var path = d3.geo.path().projection(projection); | |
| // Pie chart variables: | |
| var arc = d3.svg.arc() | |
| .innerRadius(0) | |
| .outerRadius(radius); | |
| var pie = d3.layout.pie() | |
| .sort(null) | |
| .value(function(d) { return d; }); | |
| var color = d3.scale.category10(); | |
| // Draw geographic features | |
| d3.json("world.json", function(error, world) { | |
| g1.insert("path", ".land") | |
| .datum(topojson.feature(world, world.objects.countries)) | |
| .attr("class", "land") | |
| .attr("d", path); | |
| g1.append("path") | |
| .datum(topojson.mesh(world, world.objects.countries, function(a, b) { return a !== b; })) | |
| .attr("class", "mesh") | |
| .attr("d", path); | |
| }); | |
| // Draw pie charts, | |
| d3.csv("water.csv", function(error, water) { | |
| var points = g2.selectAll("g") | |
| .data(water) | |
| .enter() | |
| .append("g") | |
| .attr("transform",function(d) { return "translate("+projection([d.lon,d.lat])+")" }) | |
| .attr("class","pies") | |
| points.append("text") | |
| .attr("y", -radius - 5) | |
| .text(function(d) { return d.label }) | |
| .style('text-anchor','middle'); | |
| var pies = points.selectAll(".pies") | |
| .data(function(d) { return pie(d.data.split(['-'])); }) | |
| .enter() | |
| .append('g') | |
| .attr('class','arc'); | |
| pies.append("path") | |
| .attr('d',arc) | |
| .attr("fill",function(d,i){ | |
| return color(i); | |
| }); | |
| }); | |
| </script> | |
| </body> |
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| lon | lat | quality | complaints | data | label | |
|---|---|---|---|---|---|---|
| 80.06 | 20.07 | 4 | 17 | 15-25-35-25 | label1 | |
| 72.822 | 18.968 | 2 | 62 | 20-40-30-10 | label2 | |
| 77.216 | 28.613 | 5 | 49 | 25-20-30-25 | label3 | |
| 92.79 | 87.208 | 4 | 3 | 50-10-12-18 | label4 | |
| 87.208 | 21.813 | 1 | 12 | 10-40-40-10 | label5 | |
| 77.589 | 12.987 | 2 | 54 | 10-20-40-30 | label6 | |
| 16.320 | 75.724 | 4 | 7 | 5-5-20-70 | label7 |
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