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May 25, 2014 03:19
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Graphing a Linear Regression Forecast with d3.js and simple_statistics.js
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| <!doctype html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>D3 Learning</title> | |
| <script src="simple_statistics.js"></script> | |
| <script src="d3.v3.min.js" charset="utf-8"></script> | |
| <style> | |
| .line { | |
| fill: none; | |
| stroke: steelblue; | |
| stroke-width: 1.5px; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <script src="line.js"></script> | |
| </body> | |
| </html> |
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| var dataset = [1, 6, 3, 4, 10, 4, 9] | |
| var margin = {top: 10, right: 10, bottom: 30, left: 50}; | |
| var width = 600 - margin.left - margin.right; | |
| var height = 300 - 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 forecast_x = 3 | |
| var lrdata = dataset.map(function(v, i) { return [i, v]}) | |
| var lr = ss.linear_regression().data(lrdata).line() | |
| var xScale = d3.scale.linear() | |
| .domain([0, dataset.length*forecast_x]) | |
| .range([0, width]); | |
| var yScale = d3.scale.linear() | |
| .domain([0, Math.max(d3.max(dataset), lr(dataset.length*forecast_x))]) | |
| .range([height, 0]); | |
| var xAxis = d3.svg.axis() | |
| .scale(xScale) | |
| .orient("bottom"); | |
| var yAxis = d3.svg.axis() | |
| .scale(yScale) | |
| .orient("left"); | |
| svg.append("g"). | |
| attr("transform", "translate(0, " + height + ")"). | |
| call(xAxis); | |
| svg.append("g"). | |
| call(yAxis) | |
| svg.selectAll('.domain') | |
| .attr({ | |
| stroke: "grey", | |
| "stroke-width": 1, | |
| fill: "none", | |
| }) | |
| var line = d3.svg.line() | |
| .x(function(d, i) { return xScale(i); }) | |
| .y(function(d) { return yScale(d); }); | |
| svg.append("path") | |
| .datum(dataset) | |
| .attr({ | |
| d: line, | |
| stroke: "blue", | |
| "stroke-width": 2, | |
| fill: "none", | |
| }); | |
| var lrline = d3.svg.line() | |
| .x(function(d, i) { return xScale(i); }) | |
| .y(function(d, i) { return yScale(lr(i)); }); | |
| svg.append("path") | |
| .datum(Array(dataset.length*forecast_x)) | |
| .attr({ | |
| d: lrline, | |
| stroke: "green", | |
| "stroke-width": 1, | |
| fill: "none", | |
| "stroke-dasharray": "5,5", | |
| }); | |
| svg.selectAll() | |
| .data(dataset) | |
| .enter() | |
| .append("circle") | |
| .attr({ | |
| r: 3, | |
| cx: function(d, i) { return xScale(i); }, | |
| cy: function(d) { return yScale(d); }, | |
| }); |
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With new simple statistics API it looks like this https://jsfiddle.net/1pzsem2r/2/