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forked from tomshanley's block: Square matrix
forked from tomshanley's block: Square matrix
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March 19, 2017 19:37
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Square matrix
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| license: mit |
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| <!DOCTYPE html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <script src="https://d3js.org/d3.v4.min.js"></script> | |
| <script src="https://unpkg.com/d3-scale-cluster@1.1.7/dist/d3-scale-cluster.min.js"></script> | |
| <style> | |
| body { margin:0;top:0;right:0;bottom:0;left:0;font-family:sans-serif } | |
| </style> | |
| </head> | |
| <body> | |
| <script> | |
| // Feel free to change or delete any of the code you see in this editor! | |
| const data = [ | |
| { | |
| "familyType": "Couple over 50", | |
| "disadvantage": "Health", | |
| "percentage": 0.15 | |
| }, | |
| { | |
| "familyType": "Couple under 50", | |
| "disadvantage": "Health", | |
| "percentage": 0.04 | |
| }, | |
| { | |
| "familyType": "Single parent, child under 18", | |
| "disadvantage": "Health", | |
| "percentage": 0.09 | |
| }, | |
| { | |
| "familyType": "Couples, child under 18", | |
| "disadvantage": "Health", | |
| "percentage": 0.04 | |
| }, | |
| { | |
| "familyType": "Couple over 50", | |
| "disadvantage": "Education", | |
| "percentage": 0.17 | |
| }, | |
| { | |
| "familyType": "Couple under 50", | |
| "disadvantage": "Education", | |
| "percentage": 0.13 | |
| }, | |
| { | |
| "familyType": "Single parent, child under 18", | |
| "disadvantage": "Education", | |
| "percentage": 0.09 | |
| }, | |
| { | |
| "familyType": "Couples, child under 18", | |
| "disadvantage": "Education", | |
| "percentage": 0.18 | |
| }, | |
| { | |
| "familyType": "Couple over 50", | |
| "disadvantage": "Housing", | |
| "percentage": 0.19 | |
| }, | |
| { | |
| "familyType": "Couple under 50", | |
| "disadvantage": "Housing", | |
| "percentage": 0.11 | |
| }, | |
| { | |
| "familyType": "Single parent, child under 18", | |
| "disadvantage": "Housing", | |
| "percentage": 0.13 | |
| }, | |
| { | |
| "familyType": "Couples, child under 18", | |
| "disadvantage": "Housing", | |
| "percentage": 0.12 | |
| }, | |
| { | |
| "familyType": "Couple over 50", | |
| "disadvantage": "Employment", | |
| "percentage": 0.15 | |
| }, | |
| { | |
| "familyType": "Couple under 50", | |
| "disadvantage": "Employment", | |
| "percentage": 0.11 | |
| }, | |
| { | |
| "familyType": "Single parent, child under 18", | |
| "disadvantage": "Employment", | |
| "percentage": 0.07 | |
| }, | |
| { | |
| "familyType": "Couples, child under 18", | |
| "disadvantage": "Employment", | |
| "percentage": 0.17 | |
| }, | |
| { | |
| "familyType": "Couple over 50", | |
| "disadvantage": "Income", | |
| "percentage": 0.17 | |
| }, | |
| { | |
| "familyType": "Couple under 50", | |
| "disadvantage": "Income", | |
| "percentage": 0.19 | |
| }, | |
| { | |
| "familyType": "Single parent, child under 18", | |
| "disadvantage": "Income", | |
| "percentage": 0.16 | |
| }, | |
| { | |
| "familyType": "Couples, child under 18", | |
| "disadvantage": "Income", | |
| "percentage": 0.09 | |
| }, | |
| { | |
| "familyType": "Couple over 50", | |
| "disadvantage": "Connectedness", | |
| "percentage": 0.24 | |
| }, | |
| { | |
| "familyType": "Couple under 50", | |
| "disadvantage": "Connectedness", | |
| "percentage": 0.18 | |
| }, | |
| { | |
| "familyType": "Single parent, child under 18", | |
| "disadvantage": "Connectedness", | |
| "percentage": 0.24 | |
| }, | |
| { | |
| "familyType": "Couples, child under 18", | |
| "disadvantage": "Connectedness", | |
| "percentage": 0.21 | |
| }, | |
| { | |
| "familyType": "Couple over 50", | |
| "disadvantage": "Material disadvantage", | |
| "percentage": 0.13 | |
| }, | |
| { | |
| "familyType": "Couple under 50", | |
| "disadvantage": "Material disadvantage", | |
| "percentage": 0.14 | |
| }, | |
| { | |
| "familyType": "Single parent, child under 18", | |
| "disadvantage": "Material disadvantage", | |
| "percentage": 0.11 | |
| }, | |
| { | |
| "familyType": "Couples, child under 18", | |
| "disadvantage": "Material disadvantage", | |
| "percentage": 0.11 | |
| }, | |
| { | |
| "familyType": "Couple over 50", | |
| "disadvantage": "Crime", | |
| "percentage": 0.17 | |
| }, | |
| { | |
| "familyType": "Couple under 50", | |
| "disadvantage": "Crime", | |
| "percentage": 0.18 | |
| }, | |
| { | |
| "familyType": "Single parent, child under 18", | |
| "disadvantage": "Crime", | |
| "percentage": 0.1 | |
| }, | |
| { | |
| "familyType": "Couples, child under 18", | |
| "disadvantage": "Crime", | |
| "percentage": 0.08 | |
| } | |
| ]; | |
| const width = 400; | |
| const height = width; | |
| const margin = {"top": 150, "left": 200, "right": 150, "bottom": 50}; | |
| var nestByDisadvantage = d3.nest() | |
| .key(function(d){ return d.disadvantage; }) | |
| .sortKeys(d3.ascending) | |
| .entries(data); | |
| var percentages = []; | |
| data.forEach(function(d, i) { percentages[i] = d.percentage; }) | |
| var columnWidth = width/nestByDisadvantage.length; | |
| var maxPercentage = d3.max(data, function(d){ return d.percentage; }); | |
| var scale = d3.scaleSqrt() | |
| .domain([0,maxPercentage]) | |
| .range([0,columnWidth]); | |
| var colour = d3.scaleCluster() | |
| .domain(percentages) | |
| .range(['#f1eef6','#d4b9da','#c994c7','#df65b0','#e7298a','#ce1256','#91003f']); | |
| var svg = d3.select("body").append("svg") | |
| .attr("width", width + margin.right + margin.left) | |
| .attr("height", height + margin.top + margin.bottom); | |
| var chart = svg.append("g") | |
| .attr("transform", "translate(" + (margin.left) + "," + margin.top + ")"); | |
| var columnHeader = chart.append("g") | |
| .attr("transform", "translate(0,0)"); | |
| var columnLabels = columnHeader.selectAll("g") | |
| .data(nestByDisadvantage) | |
| .enter() | |
| .append("g") | |
| .attr("transform", function(d, i) {return "translate(" + (columnWidth * i) +",0)"; }); | |
| columnLabels.append("text") | |
| .text(function(d) { return d.key }) | |
| .attr("transform", "translate(20)rotate(-45)") | |
| var nestByFamilyType = d3.nest() | |
| .key(function(d){ return d.familyType; }) | |
| .sortKeys(d3.ascending) | |
| .sortValues(function(a,b) { return a.disadvantage < b.disadvantage; }) | |
| .entries(data); | |
| var rowHeight = height/nestByFamilyType.length | |
| nestByFamilyType.forEach(function(d, i) { | |
| var rowG = chart.append("g") | |
| .attr("transform", "translate(0," + (i * rowHeight) + ")"); | |
| rowG.append("text") | |
| .text(d.key) | |
| .attr("x", 0) | |
| .attr("y", rowHeight/2 - 20) | |
| .style("text-anchor", "end") | |
| var boxes = rowG.selectAll("g") | |
| .data(d.values) | |
| .enter() | |
| .append("g") | |
| .attr("transform", function(d, i) {return "translate(" + (columnWidth * i) +",0)"; }); | |
| boxes.append("rect") | |
| .attr("x", function(d) { return (columnWidth - scale(d.percentage))/2; }) | |
| .attr("y", function(d) { return (columnWidth - scale(d.percentage))/2; }) | |
| .attr("width", function(d) { return scale(d.percentage); }) | |
| .attr("height", function(d) { return scale(d.percentage); }) | |
| .style("fill", function(d) { return colour(d.percentage); }) | |
| .attr("rx", 5); | |
| }); | |
| </script> | |
| </body> |
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