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Wheat plot
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| license: mit |
This file contains hidden or 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.
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| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| </style> | |
| <svg width="800" height="400"></svg> | |
| <script src="https://d3js.org/d3.v4.min.js"></script> | |
| <script> | |
| const data = d3.range(500).map(d3.randomNormal(50,10)); | |
| var svg = d3.select("svg"), | |
| margin = {top: 10, right: 30, bottom: 30, left: 30}, | |
| width = +svg.attr("width") - margin.left - margin.right, | |
| height = +svg.attr("height") - margin.top - margin.bottom, | |
| g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
| const bandWidth = 5; | |
| const domainMin = thisBand(d3.min(data, function(d) { return d; }), bandWidth); | |
| const domainMax = thisBand(d3.max(data, function(d) { return d; }), bandWidth) + bandWidth; | |
| const domainRange = domainMax - domainMin; | |
| const noOfBands = domainRange/bandWidth; | |
| var xAxisValues = []; | |
| let i = 0; | |
| for (i; i < (noOfBands + 1); i++) { | |
| let axisValue = domainMin + (i * bandWidth); | |
| xAxisValues.push(axisValue); | |
| }; | |
| const x = d3.scaleLinear() | |
| .rangeRound([0, width]) | |
| .domain([domainMin,domainMax]); | |
| var f = d3.format(".1f"); | |
| var xAxis = d3.axisBottom(x) | |
| .tickFormat(f) | |
| .tickValues(xAxisValues); | |
| var xAxisG = g.append("g") | |
| .attr("class", "x-axis") | |
| .attr("transform", "translate(0," + height + ")") | |
| .call(xAxis); | |
| xAxisG.selectAll("line") | |
| .attr("y1", -height) | |
| .style("stroke", "lightgrey"); | |
| xAxisG.select(".domain") | |
| .remove(); | |
| const jitter = d3.scaleLinear() | |
| .range([0,(width/noOfBands)]) | |
| .domain([0,bandWidth]); | |
| const nestedData = d3.nest() | |
| .key(function(d){ return thisBand(d, bandWidth); }) | |
| .sortKeys(d3.ascending) | |
| .sortValues(d3.ascending) | |
| .entries(data); | |
| const maxI = d3.max(nestedData, function(d){ return d.values.length }); | |
| const y = d3.scaleLinear() | |
| .domain([0, maxI]) | |
| .range([height, 0]); | |
| var band = g.selectAll(".band") | |
| .data(nestedData) | |
| .enter().append("g") | |
| .attr("class", "band") | |
| .attr("transform", function(d) { return "translate(" + x(+d.key) + "," + 0 + ")"; }); | |
| var circle = band.selectAll(".circle") | |
| .data(function(d){ return d.values }) | |
| .enter() | |
| .append("g") | |
| .attr("transform", function(d, i) { | |
| let offset = d - thisBand(d, bandWidth); | |
| return "translate(" + jitter(offset) + "," + y(i) + ")"; | |
| //return "translate(" + jitter(offset) + "," + 15 + ")"; | |
| }); | |
| circle.append("circle") | |
| .attr("r", 2) | |
| .style("fill", "none") | |
| .style("stroke", "MediumVioletRed") | |
| .style("opacity", 0.5); | |
| function thisBand(n, bandwidth) { | |
| return Math.floor(n / bandwidth) * bandwidth; | |
| }; | |
| </script> |
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