A basic scatterplot that loads data, scales and axes and updates domains based on extrema. Uses Mike Bostock's margin conventions and the data for Anscombe's Quartet.
forked from kpq's block: Basic starter code for many simple D3 charts
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style type="text/css"> | |
| body { | |
| font-family: arial, sans; | |
| font-size: 9px; | |
| } | |
| .axis line, | |
| .axis path { | |
| fill: none; | |
| stroke: #000; | |
| shape-rendering: crispEdges; | |
| } | |
| .axis text { | |
| font-size: 8px; | |
| } | |
| </style> | |
| <body> | |
| <h2>Population in San Francisco, by age and gender: 2010 Census</h2> | |
| </body> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js" charset="utf-8"></script> | |
| <script type="text/javascript"> | |
| // | |
| var margin = {top: 40, right: 60, bottom: 60, left: 70}; | |
| var width = 500 - margin.left - margin.right, | |
| 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) | |
| var chart = svg.append("g") | |
| .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
| // | |
| var xScale = d3.scale.linear() | |
| .range([0,width]); | |
| var yScale = d3.scale.linear() | |
| .range([height,0]); | |
| var xAxis = d3.svg.axis() | |
| .scale(xScale) | |
| .orient("bottom"); | |
| var yAxis = d3.svg.axis() | |
| .scale(yScale) | |
| .orient("left"); | |
| // | |
| d3.csv("sfPopulation2010.csv", ready); | |
| // | |
| function ready(error, data) { | |
| if (error) return console.warn(error); | |
| // ensure numbers are being interpreted as numbers, not strings | |
| data.forEach(function(d) { | |
| d.female = +d.female; | |
| d.male = +d.male | |
| }); | |
| // why is this a problem? What should we do to change it? | |
| //xScale.domain(d3.extent(data, function(d) { return d.female; })); | |
| //yScale.domain(d3.extent(data, function(d) { return d.male; })); | |
| xScale.domain([0, d3.max(data, function(d) { return d.female; })]); | |
| yScale.domain([0, d3.max(data, function(d) { return d.male; })]); | |
| // | |
| var labels = svg.append("g") | |
| .attr("class", "labels") | |
| labels.append("text").attr("transform", "translate(" + (width / 2 + 14) + "," + (height + margin.top + 40) + ")") | |
| .text("Female Population") | |
| labels.append("text").attr("transform", "translate(20," + (height/2 + margin.top)+ ") rotate(270)") | |
| .text("Male Population").attr('text-anchor', 'middle') | |
| // | |
| chart.append("g") | |
| .attr("class", "x axis") | |
| .attr("transform", "translate(0," + height + ")") | |
| .call(xAxis) | |
| chart.append("g") | |
| .attr("class", "y axis") | |
| .attr("transform", "translate(0,0)") | |
| .call(yAxis); | |
| // | |
| var circleGroup = chart.selectAll(".points") | |
| .data(data) | |
| .enter() | |
| // and group | |
| .append("g") | |
| .attr("class", "points") | |
| .attr("transform", function(d) { return "translate( " + xScale(d.female)+ "," + yScale(d.male) + ")"; }) | |
| // | |
| circleGroup.append("circle") | |
| .attr("r", 5) | |
| .attr("fill", "grey") | |
| // | |
| circleGroup.append("text") | |
| .text(function(d) { return d.age; }) | |
| .attr("dx", +10) | |
| .attr("dy", +4); | |
| // | |
| chart.append("line") | |
| .attr({ | |
| "x1": xScale(0), | |
| "x2": xScale(xScale.domain()[1]), | |
| "y1": yScale(0), | |
| "y2": yScale(yScale.domain()[1]), | |
| "stroke": "#a0abcc" | |
| }) | |
| } | |
| </script> |
| age | male | female | |
|---|---|---|---|
| Under 5 | 17963 | 17240 | |
| 5 to 9 | 14466 | 13996 | |
| 10 to 14 | 13467 | 12832 | |
| 15 to 19 | 16888 | 17718 | |
| 20 to 24 | 29269 | 31349 | |
| 25 to 29 | 44178 | 43978 | |
| 30 to 34 | 41351 | 38613 | |
| 35 to 39 | 38264 | 32549 | |
| 40 to 44 | 34906 | 27963 | |
| 45 to 49 | 31783 | 25794 | |
| 50 to 54 | 28957 | 25273 | |
| 55 to 59 | 26777 | 24931 | |
| 60 to 64 | 22455 | 22433 | |
| 65 to 69 | 14318 | 15462 | |
| 70 to 74 | 11274 | 13268 | |
| 75 to 79 | 9294 | 11545 | |
| 80 to 84 | 6878 | 10312 | |
| 85 and over | 5974 | 11517 |
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