This block is an extension of the Scatterplot Block with a regression line fit to the data. The data is randomly generated using the create_data function.
forked from ctufts's block: D3 Scatterplot with Regression Line
Last active
February 9, 2017 19:04
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Regression Line for education levels correlation between women and men (18+ years old)
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| license: gpl-3.0 | |
| height: 500 | |
| scrolling: no | |
| border: no |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <title>D3 Scatterplot with Regression Line</title> | |
| <style> | |
| .line { | |
| stroke: #E4002B; | |
| fill: none; | |
| stroke-width: 2; | |
| } | |
| .axis path, | |
| .axis line { | |
| fill: none; | |
| stroke: black; | |
| shape-rendering: crispEdges; | |
| } | |
| .axis text { | |
| font-size: 10px; | |
| font-family: sans-serif; | |
| } | |
| .text-label { | |
| font-size: 10px; | |
| font-family: sans-serif; | |
| } | |
| .dot { | |
| stroke: #293b47; | |
| fill: #7A99AC | |
| } | |
| </style> | |
| <body> | |
| <script src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script> | |
| <script> | |
| var margin = { | |
| top: 20, | |
| right: 20, | |
| bottom: 30, | |
| left: 40 | |
| }, | |
| width = 600 - margin.left - margin.right, | |
| height = 400 - margin.top - margin.bottom; | |
| var x = d3.scale.linear() | |
| .range([0, width]); | |
| var y = d3.scale.linear() | |
| .range([height, 0]); | |
| var xAxis = d3.svg.axis() | |
| .scale(x) | |
| .orient("bottom"); | |
| var yAxis = d3.svg.axis() | |
| .scale(y) | |
| .orient("left"); | |
| 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 x1 = [405,905,1819,2029,1830,2250,5633,36008,22129,4486,5233,22027,8221,1970,2107] | |
| var y1 = [473,971,1688,2063,1921,2281,5391,35646,24084,5379,7440,24488,10462,1407,1504] | |
| var data = create_data(x1,y1); | |
| data.forEach(function(d) { | |
| d.x = +d.x; | |
| d.y = +d.y; | |
| d.yhat = +d.yhat; | |
| }); | |
| var line = d3.svg.line() | |
| .x(function(d) { | |
| return x(d.x); | |
| }) | |
| .y(function(d) { | |
| return y(d.yhat); | |
| }); | |
| x.domain(d3.extent(data, function(d) { | |
| return d.x; | |
| })); | |
| y.domain(d3.extent(data, function(d) { | |
| return d.y; | |
| })); | |
| svg.append("g") | |
| .attr("class", "x axis") | |
| .attr("transform", "translate(0," + height + ")") | |
| .call(xAxis) | |
| .append("text") | |
| .attr("class", "label") | |
| .attr("x", width) | |
| .attr("y", -6) | |
| .style("text-anchor", "end") | |
| .attr("font-weight", "bold") | |
| .text("Male"); | |
| svg.append("g") | |
| .attr("class", "y axis") | |
| .call(yAxis) | |
| .append("text") | |
| .attr("class", "label") | |
| .attr("transform", "rotate(-90)") | |
| .attr("y", 6) | |
| .attr("dy", ".71em") | |
| .style("text-anchor", "end") | |
| .attr("font-weight", "bold") | |
| .text("Female") | |
| svg.selectAll(".dot") | |
| .data(data) | |
| .enter().append("circle") | |
| .attr("class", "dot") | |
| .attr("r", 3.5) | |
| .attr("cx", function(d) { | |
| return x(d.x); | |
| }) | |
| .attr("cy", function(d) { | |
| return y(d.y); | |
| }); | |
| svg.append("path") | |
| .datum(data) | |
| .attr("class", "line") | |
| .attr("d", line); | |
| svg.append("text") | |
| .attr("x", (width + (margin.left + margin.right) )/ 2-10) | |
| .attr("y", 0 + margin.top) | |
| .attr("text-anchor", "middle") | |
| .style("font-size", "12px") | |
| .style("font-family", "sans-serif") | |
| .text("education levels correlation between women and men (18+ years old)"); | |
| function create_data(x,y) { | |
| var n = 15; | |
| var x_mean = 0; | |
| var y_mean = 0; | |
| var term1 = 0; | |
| var term2 = 0; | |
| // create x and y values | |
| for (var i = 0; i < n; i++) { | |
| x_mean += x[i] | |
| y_mean += y[i] | |
| } | |
| // calculate mean x and y | |
| x_mean /= n; | |
| y_mean /= n; | |
| // calculate coefficients | |
| var xr = 0; | |
| var yr = 0; | |
| for (i = 0; i < x.length; i++) { | |
| xr = x[i] - x_mean; | |
| yr = y[i] - y_mean; | |
| term1 += xr * yr; | |
| term2 += xr * xr; | |
| } | |
| var b1 = term1 / term2; | |
| var b0 = y_mean - (b1 * x_mean); | |
| // perform regression | |
| yhat = []; | |
| // fit line using coeffs | |
| for (i = 0; i < x.length; i++) { | |
| yhat.push(b0 + (x[i] * b1)); | |
| } | |
| var data = []; | |
| for (i = 0; i < y.length; i++) { | |
| data.push({ | |
| "yhat": yhat[i], | |
| "y": y[i], | |
| "x": x[i] | |
| }) | |
| } | |
| return (data); | |
| } | |
| </script> | |
| </body> |
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