Created
November 12, 2014 15:41
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Act IV: Working with Data
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| [ | |
| {"magnitude":5.1,"coordinates":[-71.120167,42.370580]}, | |
| {"magnitude":2.73,"coordinates":[-119.6165,41.9069]}, | |
| {"magnitude":3.35,"coordinates":[-124.9986649,40.409668]}, | |
| {"magnitude":4.1,"coordinates":[-97.0925,36.0305]}, | |
| {"magnitude":3.4,"coordinates":[-152.9566,59.0462]} | |
| ] |
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| // You'll generally need a local server for requests to work. Run: | |
| // python -m SimpleHTTPServer | |
| var width = 700, | |
| height = 500; | |
| var svg = d3.select("svg") | |
| .attr("width", width) | |
| .attr("height", height); | |
| // The code aboves sets up the basic SVG element required for | |
| // drawing vector graphics in the browser. Real code starts below. | |
| d3.json("data.json", function(data) { | |
| var scale = d3.scale.linear() | |
| .domain([1,10]) | |
| .range([20,width-40]); | |
| var circles = svg.selectAll("circle") | |
| .data(data) | |
| .enter().append("circle"); | |
| circles | |
| .attr("cx", function(d,i) { | |
| return scale(d.magnitude); | |
| }) | |
| .attr("cy", 200) | |
| .attr("r", 40) | |
| .style("fill", "steelblue") | |
| .style("fill-opacity", 0.5); | |
| }); |
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8" /> | |
| <title>Data Visualization and D3</title> | |
| <meta content="David Chouinard" name="author" /> | |
| <style type="text/css"> | |
| html, body { | |
| margin: 0; | |
| padding: 0; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <svg></svg> | |
| </body> | |
| <script src="http://d3js.org/d3.v3.min.js"></script> | |
| <script src="demo.js"></script> | |
| </html> |
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