See the blog post on how and why it was made.
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Weighted pivot scatter plot v3
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| license: mit | |
| height: 500 | |
| border: no |
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| *{box-sizing:border-box}body{color:#333;font-family:Helvetica,Arial,sans-serif}.graphic__hed{text-align:center;color:#333}.chart{max-width:40rem;margin:0 auto;text-align:center}.slider{max-width:20rem;margin:1rem auto;position:relative;padding-top:16.5px}.slider input{display:block;width:100%}.slider:before{content:'Quality';text-transform:uppercase;font-size:11px;letter-spacing:.05em;color:#888;display:inline-block;position:absolute;top:0;left:0}.slider:after{content:'Quantity';text-transform:uppercase;font-size:11px;letter-spacing:.05em;color:#888;display:inline-block;position:absolute;top:0;right:0}.g-axis line,.g-axis path{stroke:#ccc}.g-axis text{fill:#888}.g-axis .axis__label{text-transform:uppercase;font-size:11px;letter-spacing:.05em;fill:#888}.item{fill-opacity:.75} |
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| "use strict";function weightData(t){var a=t.x,e=t.y;return dummyData.map(function(t){return _extends({},t,{score:t.x*a+t.y*e})}).sort(function(t,a){return d3.descending(t.score,a.score)}).map(function(t,a){return _extends({},t,{rank:a})}).reverse()}function getHypotenuse(t){var a=t.x,e=t.y,n=a*a,r=e*e;return Math.sqrt(n+r)}function resize(){var t=.8*Math.min(el.node().offsetWidth,window.innerHeight);chart.width(t).height(t),el.call(chart)}function scatterplot(){function t(t,a){return"translate("+t+", "+a+")"}function a(t){var a=t.container,e=t.data,n=a.selectAll("svg").data([e]),r=n.enter().append("svg"),i=r.append("g");i.append("g").attr("class","g-plot");var c=i.append("g").attr("class","g-axis"),s=c.append("g").attr("class","axis axis--x"),o=c.append("g").attr("class","axis axis--y");s.append("text").attr("class","axis__label").attr("text-anchor","start").text("Quantity"),o.append("text").attr("class","axis__label").attr("text-anchor","end").text("Quality")}function e(t){t.container,t.data}function n(t){var a=t.data;v=getHypotenuse({x:p,y:m});var e=p/v*g,n=m/v*x,r=Math.floor(1.5*FONT_SIZE);o.domain([0,MAX_VAL]).range([0,e]),l.domain([0,MAX_VAL]).range([n,0]),d.domain([0,a.length]).range([r,2]),u.domain(a.map(function(t){return t.rank})).range(COLORS)}function r(a){var e=a.container,n=(a.data,e.select("svg"));n.attr("width",h).attr("height",f);var r=n.select("g"),i=l.range()[0],c=g/2,m=x-i,y=Math.acos(p/v),_=90-180*y/Math.PI,M="rotate("+-_+" 0 "+l.range()[0]+")",w=t(1.5*s+c,s+m),A=w+" "+M;r.attr("transform",A);var L=r.select(".g-plot"),O=L.selectAll(".item").data(function(t){return t},function(t){return t.index});O.enter().append("circle").attr("class","item").merge(O).attr("x",0).attr("y",0).attr("r",function(t){return d(t.rank)}).style("fill",function(t){return u(t.rank)}).style("stroke",function(t){return d3.color(u(t.rank)).darker(.7)}).attr("transform",function(a){return t(o(a.x),l(a.y))})}function i(a){var e=a.container,n=(a.data,e.select(".g-axis")),r=d3.axisLeft(l),i=d3.axisBottom(o);r.ticks(Math.max(0,Math.floor(m/10))),i.ticks(Math.max(0,Math.floor(p/10)));var c=n.select(".axis--x"),d=l.range()[0],u=d,h=Math.ceil(s/2);c.attr("transform",t(0,h+u)).call(i);var f=n.select(".axis--y");f.attr("transform",t(-h,0)).call(r),c.select(".axis__label").attr("y",s-1),f.select(".axis__label").attr("x",u).attr("y",s-1).attr("transform","rotate(90)")}function c(t){var c=t.datum();a({container:t,data:c}),e({container:t,data:c}),n({container:t,data:c}),r({container:t,data:c}),i({container:t,data:c})}var s=3*FONT_SIZE,o=d3.scaleLinear(),l=d3.scaleLinear(),d=d3.scaleSqrt(),u=d3.scaleQuantile(),h=0,f=0,g=0,x=0,p=50,m=50,v=0;return c.width=function(){return arguments.length?(h=arguments.length<=0?void 0:arguments[0],g=h-2.5*s,c):h},c.height=function(){return arguments.length?(f=arguments.length<=0?void 0:arguments[0],x=f-2.5*s,c):f},c.weight=function(t){var a=t.x,e=t.y;return p=a,m=e,c},c}function handleInput(){var t=+this.value,a=t,e=100-t,n=weightData({x:a,y:e});chart.weight({x:a,y:e}),el.datum(n),el.call(chart)}function init(){el.datum(weightData({x:50,y:50})),el.call(chart),resize(),window.addEventListener("resize",resize),graphic.select(".slider input").on("input",handleInput)}var _extends=Object.assign||function(t){for(var a=1;a<arguments.length;a++){var e=arguments[a];for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])}return t},graphic=d3.select(".graphic--3"),COLORS=["#ff3814","#fe5c34","#fc764f","#f88d69","#f2a385","#e8b8a0","#dbcdbd"],FONT_SIZE=11,MAX_VAL=10,dummyData=d3.range(0,50).map(function(t){return{index:t,x:.5+Math.random()*(MAX_VAL-1),y:.5+Math.random()*(MAX_VAL-1)}}),chart=scatterplot(),el=graphic.select(".chart");init(); | |
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graphic = d3.select('.graphic--3')\n\nconst COLORS = ['#ff3814', '#fe5c34', '#fc764f', '#f88d69', '#f2a385', '#e8b8a0', '#dbcdbd']\nconst FONT_SIZE = 11\nconst MAX_VAL = 10\nconst dummyData = d3.range(0, 50).map(d => ({\n\tindex: d,\n\tx: 0.5 + Math.random() * (MAX_VAL - 1),\n\ty: 0.5 + Math.random() * (MAX_VAL - 1),\n}))\n\nconst chart = scatterplot()\nconst el = graphic.select('.chart')\n\nfunction weightData({ x, y }) {\n\treturn dummyData.map(d => ({\n\t\t...d,\n\t\tscore: d.x * x + d.y * y,\n\t}))\n\t.sort((a, b) => d3.descending(a.score, b.score))\n\t.map((d, i) => ({\n\t\t...d,\n\t\trank: i,\n\t}))\n\t.reverse()\n}\n\nfunction getHypotenuse({ x, y }) {\n\tconst x2 = x * x\n\tconst y2 = y * y\n\treturn Math.sqrt(x2 + y2)\n}\n\nfunction resize() {\n\tconst sz = Math.min(el.node().offsetWidth, window.innerHeight) * 0.8\n\tchart.width(sz).height(sz)\n\tel.call(chart)\n}\n\nfunction scatterplot() {\n\tconst margin = FONT_SIZE * 3\n\tconst scaleX = d3.scaleLinear()\n\tconst scaleY = d3.scaleLinear()\n\tconst scaleR = d3.scaleSqrt()\n\tconst scaleC = d3.scaleQuantile()\n\n\tlet width = 0\n\tlet height = 0\n\tlet chartWidth = 0\n\tlet chartHeight = 0\n\tlet weightX = 50\n\tlet weightY = 50\n\tlet hypotenuse = 0\n\n\tfunction translate(x, y) {\n\t\treturn `translate(${x}, ${y})`\n\t}\n\n\tfunction enter({ container, data }) {\n\t\tconst svg = container.selectAll('svg').data([data])\n\t\tconst svgEnter = svg.enter().append('svg')\n      \tconst gEnter = svgEnter.append('g')\n\t\t\n\t\tgEnter.append('g').attr('class', 'g-plot')\n\n\t\tconst axis = gEnter.append('g').attr('class', 'g-axis')\n\n\t\tconst x = axis.append('g').attr('class', 'axis axis--x')\n\n\t\tconst y = axis.append('g').attr('class', 'axis axis--y')\n\n\t\tx.append('text').attr('class', 'axis__label')\n\t\t\t.attr('text-anchor', 'start')\n\t\t\t.text('Quantity')\n\n\t\ty.append('text').attr('class', 'axis__label')\n\t\t\t.attr('text-anchor', 'end')\n\t\t\t.text('Quality')\t\n\t}\n\n\tfunction exit({ container, data }) {\n\t}\n\n\tfunction updateScales({ data }) {\n\t\thypotenuse = getHypotenuse({ x: weightX, y: weightY })\n\t\tconst rangeX = weightX / hypotenuse * chartWidth\n\t\tconst rangeY = weightY / hypotenuse * chartHeight\n\t\tconst maxR = Math.floor(FONT_SIZE * 1.5)\n\n\t\tscaleX\n\t\t\t.domain([0, MAX_VAL])\n\t\t\t.range([0, rangeX])\n\n\t\tscaleY\n\t\t\t.domain([0, MAX_VAL])\n\t\t\t.range([rangeY, 0])\n\n\t\tscaleR\n\t\t\t.domain([0, data.length])\n\t\t\t.range([maxR, 2])\n\n\t\tscaleC\n\t\t\t.domain(data.map(d => d.rank))\n\t\t\t.range(COLORS)\n\t}\n\n\tfunction updateDom({ container, data }) {\n\t\tconst svg = container.select('svg')\n\t\t\n\t\tsvg\n\t\t\t.attr('width', width)\n\t\t\t.attr('height', height)\n\n\t\tconst g = svg.select('g')\n\t\t\n\t\tconst maxY = scaleY.range()[0]\n\t\tconst offsetX = chartWidth / 2\n\t\tconst offsetY = chartHeight - maxY\n\t\tconst rad = Math.acos(weightX / hypotenuse)\n\t\tconst angle = 90 - (rad * 180 / Math.PI)\n\t\tconst rotation = `rotate(${-angle} 0 ${scaleY.range()[0]})`\n\t\tconst translation = translate(margin * 1.5 + offsetX, margin + offsetY)\n\t\tconst transform = `${translation} ${rotation}`\n\t\tg.attr('transform', transform)\n\n\t\tconst plot = g.select('.g-plot')\n\n\t\tconst item = plot.selectAll('.item').data(d => d, d => d.index)\n\t\t\n\t\titem.enter().append('circle')\n\t\t\t.attr('class', 'item')\n\t\t.merge(item)\n\t\t\t.attr('x', 0)\n\t\t\t.attr('y', 0)\n\t\t\t.attr('r', d => scaleR(d.rank))\n\t\t\t.style('fill', d => scaleC(d.rank))\n\t\t\t.style('stroke', d => d3.color(scaleC(d.rank)).darker(0.7))\n\t\t\t.attr('transform',  d => translate(scaleX(d.x), scaleY(d.y)))\n\t}\n\n\tfunction updateAxis({ container, data }) {\n\t\tconst axis = container.select('.g-axis')\n\n\t\tconst axisLeft = d3.axisLeft(scaleY)\n\t\tconst axisBottom = d3.axisBottom(scaleX)\n\n\t\taxisLeft.ticks(Math.max(0, Math.floor(weightY / 10)))\n\t\taxisBottom.ticks(Math.max(0, Math.floor(weightX / 10)))\n\t\tconst x = axis.select('.axis--x')\n\t\t\n\t\tconst maxY = scaleY.range()[0]\n\t\tconst offset = maxY\n\n\t\tconst buffer = Math.ceil(margin / 2)\n\t\tx.attr('transform', translate(0, buffer + offset))\n\t\t\t.call(axisBottom)\n\n\t\tconst y = axis.select('.axis--y')\n\n\t\ty.attr('transform', translate(-buffer, 0))\n\t\t\t.call(axisLeft)\n\n\t\tx.select('.axis__label')\n\t\t\t.attr('y', margin - 1)\n\n\t\ty.select('.axis__label')\n\t\t\t.attr('x', offset)\n\t\t\t.attr('y', margin - 1)\n\t\t\t.attr('transform', `rotate(90)`)\n\t}\n\n\tfunction chart(container) {\n\t\tconst data = container.datum()\n\t\t\n\t\tenter({ container, data })\n\t\texit({ container, data })\n\t\tupdateScales({ container, data })\n\t\tupdateDom({ container, data })\n\t\tupdateAxis({ container, data })\n\t}\n\n\tchart.width = function(...args) {\n\t\tif (!args.length) return width\n\t\twidth = args[0]\n\t\tchartWidth = width - margin * 2.5\n\t\treturn chart\n\t}\n\n\tchart.height = function(...args) {\n\t\tif (!args.length) return height\n\t\theight = args[0]\n\t\tchartHeight = height - margin * 2.5\n\t\treturn chart\n\t}\n\n\tchart.weight = function({ x, y }) {\n\t\tweightX = x\n\t\tweightY = y\n\t\treturn chart\n\t}\n\n\n\n\treturn chart\n}\n\nfunction handleInput() {\n\tconst val = +this.value\n\tconst x = val\n\tconst y = 100 - val\n\tconst weighted = weightData({ x, y })\n\n\tchart.weight({ x, y })\n\tel.datum(weighted)\n\tel.call(chart)\n}\n\nfunction init() {\n\tel.datum(weightData({ x: 50, y: 50 }))\n\tel.call(chart)\n\tresize()\n\twindow.addEventListener('resize', resize)\n\tgraphic.select('.slider input').on('input', handleInput)\n}\n\ninit()\n\n"]} |
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> | |
| <title>weighted pivot scatter plot v3</title> | |
| <link href='dist.css' rel='stylesheet' /> | |
| <body> | |
| <div class='graphic graphic--3'> | |
| <div class='chart'></div> | |
| <div class='slider'><input type='range' min='0' max='100' value='50'></div> | |
| </div> | |
| <script src='https://d3js.org/d3.v4.min.js'></script> | |
| <script src='dist.js'></script> | |
| </body> |
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| const graphic = d3.select('.graphic--3') | |
| const COLORS = ['#ff3814', '#fe5c34', '#fc764f', '#f88d69', '#f2a385', '#e8b8a0', '#dbcdbd'] | |
| const FONT_SIZE = 11 | |
| const MAX_VAL = 10 | |
| const dummyData = d3.range(0, 50).map(d => ({ | |
| index: d, | |
| x: 0.5 + Math.random() * (MAX_VAL - 1), | |
| y: 0.5 + Math.random() * (MAX_VAL - 1), | |
| })) | |
| const chart = scatterplot() | |
| const el = graphic.select('.chart') | |
| function weightData({ x, y }) { | |
| return dummyData.map(d => ({ | |
| ...d, | |
| score: d.x * x + d.y * y, | |
| })) | |
| .sort((a, b) => d3.descending(a.score, b.score)) | |
| .map((d, i) => ({ | |
| ...d, | |
| rank: i, | |
| })) | |
| .reverse() | |
| } | |
| function getHypotenuse({ x, y }) { | |
| const x2 = x * x | |
| const y2 = y * y | |
| return Math.sqrt(x2 + y2) | |
| } | |
| function resize() { | |
| const sz = Math.min(el.node().offsetWidth, window.innerHeight) * 0.8 | |
| chart.width(sz).height(sz) | |
| el.call(chart) | |
| } | |
| function scatterplot() { | |
| const margin = FONT_SIZE * 3 | |
| const scaleX = d3.scaleLinear() | |
| const scaleY = d3.scaleLinear() | |
| const scaleR = d3.scaleSqrt() | |
| const scaleC = d3.scaleQuantile() | |
| let width = 0 | |
| let height = 0 | |
| let chartWidth = 0 | |
| let chartHeight = 0 | |
| let weightX = 50 | |
| let weightY = 50 | |
| let hypotenuse = 0 | |
| function translate(x, y) { | |
| return `translate(${x}, ${y})` | |
| } | |
| function enter({ container, data }) { | |
| const svg = container.selectAll('svg').data([data]) | |
| const svgEnter = svg.enter().append('svg') | |
| const gEnter = svgEnter.append('g') | |
| gEnter.append('g').attr('class', 'g-plot') | |
| const axis = gEnter.append('g').attr('class', 'g-axis') | |
| const x = axis.append('g').attr('class', 'axis axis--x') | |
| const y = axis.append('g').attr('class', 'axis axis--y') | |
| x.append('text').attr('class', 'axis__label') | |
| .attr('text-anchor', 'start') | |
| .text('Quantity') | |
| y.append('text').attr('class', 'axis__label') | |
| .attr('text-anchor', 'end') | |
| .text('Quality') | |
| } | |
| function exit({ container, data }) { | |
| } | |
| function updateScales({ data }) { | |
| hypotenuse = getHypotenuse({ x: weightX, y: weightY }) | |
| const rangeX = weightX / hypotenuse * chartWidth | |
| const rangeY = weightY / hypotenuse * chartHeight | |
| const maxR = Math.floor(FONT_SIZE * 1.5) | |
| scaleX | |
| .domain([0, MAX_VAL]) | |
| .range([0, rangeX]) | |
| scaleY | |
| .domain([0, MAX_VAL]) | |
| .range([rangeY, 0]) | |
| scaleR | |
| .domain([0, data.length]) | |
| .range([maxR, 2]) | |
| scaleC | |
| .domain(data.map(d => d.rank)) | |
| .range(COLORS) | |
| } | |
| function updateDom({ container, data }) { | |
| const svg = container.select('svg') | |
| svg | |
| .attr('width', width) | |
| .attr('height', height) | |
| const g = svg.select('g') | |
| const maxY = scaleY.range()[0] | |
| const offsetX = chartWidth / 2 | |
| const offsetY = chartHeight - maxY | |
| const rad = Math.acos(weightX / hypotenuse) | |
| const angle = 90 - (rad * 180 / Math.PI) | |
| const rotation = `rotate(${-angle} 0 ${scaleY.range()[0]})` | |
| const translation = translate(margin * 1.5 + offsetX, margin + offsetY) | |
| const transform = `${translation} ${rotation}` | |
| g.attr('transform', transform) | |
| const plot = g.select('.g-plot') | |
| const item = plot.selectAll('.item').data(d => d, d => d.index) | |
| item.enter().append('circle') | |
| .attr('class', 'item') | |
| .merge(item) | |
| .attr('x', 0) | |
| .attr('y', 0) | |
| .attr('r', d => scaleR(d.rank)) | |
| .style('fill', d => scaleC(d.rank)) | |
| .style('stroke', d => d3.color(scaleC(d.rank)).darker(0.7)) | |
| .attr('transform', d => translate(scaleX(d.x), scaleY(d.y))) | |
| } | |
| function updateAxis({ container, data }) { | |
| const axis = container.select('.g-axis') | |
| const axisLeft = d3.axisLeft(scaleY) | |
| const axisBottom = d3.axisBottom(scaleX) | |
| axisLeft.ticks(Math.max(0, Math.floor(weightY / 10))) | |
| axisBottom.ticks(Math.max(0, Math.floor(weightX / 10))) | |
| const x = axis.select('.axis--x') | |
| const maxY = scaleY.range()[0] | |
| const offset = maxY | |
| const buffer = Math.ceil(margin / 2) | |
| x.attr('transform', translate(0, buffer + offset)) | |
| .call(axisBottom) | |
| const y = axis.select('.axis--y') | |
| y.attr('transform', translate(-buffer, 0)) | |
| .call(axisLeft) | |
| x.select('.axis__label') | |
| .attr('y', margin - 1) | |
| y.select('.axis__label') | |
| .attr('x', offset) | |
| .attr('y', margin - 1) | |
| .attr('transform', `rotate(90)`) | |
| } | |
| function chart(container) { | |
| const data = container.datum() | |
| enter({ container, data }) | |
| exit({ container, data }) | |
| updateScales({ container, data }) | |
| updateDom({ container, data }) | |
| updateAxis({ container, data }) | |
| } | |
| chart.width = function(...args) { | |
| if (!args.length) return width | |
| width = args[0] | |
| chartWidth = width - margin * 2.5 | |
| return chart | |
| } | |
| chart.height = function(...args) { | |
| if (!args.length) return height | |
| height = args[0] | |
| chartHeight = height - margin * 2.5 | |
| return chart | |
| } | |
| chart.weight = function({ x, y }) { | |
| weightX = x | |
| weightY = y | |
| return chart | |
| } | |
| return chart | |
| } | |
| function handleInput() { | |
| const val = +this.value | |
| const x = val | |
| const y = 100 - val | |
| const weighted = weightData({ x, y }) | |
| chart.weight({ x, y }) | |
| el.datum(weighted) | |
| el.call(chart) | |
| } | |
| function init() { | |
| el.datum(weightData({ x: 50, y: 50 })) | |
| el.call(chart) | |
| resize() | |
| window.addEventListener('resize', resize) | |
| graphic.select('.slider input').on('input', handleInput) | |
| } | |
| init() |
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| $gray = #888 | |
| $gray-light = #aaa | |
| $gray-lighter = #ccc | |
| $gray-dark = #333 | |
| $sans = Helvetica, Arial, sans-serif | |
| $small-font = 11px | |
| * | |
| box-sizing border-box | |
| body | |
| color $gray-dark | |
| font-family $sans | |
| .graphic__hed | |
| text-align center | |
| color $gray-dark | |
| .chart | |
| max-width 40rem | |
| margin 0 auto | |
| text-align center | |
| .slider | |
| max-width 20rem | |
| margin 1rem auto | |
| position relative | |
| padding-top $small-font * 1.5 | |
| input | |
| display block | |
| width 100% | |
| &:before | |
| content 'Quality' | |
| text-transform uppercase | |
| font-size $small-font | |
| letter-spacing 0.05em | |
| color $gray | |
| display inline-block | |
| position absolute | |
| top 0 | |
| left 0 | |
| &:after | |
| content 'Quantity' | |
| text-transform uppercase | |
| font-size $small-font | |
| letter-spacing 0.05em | |
| color $gray | |
| display inline-block | |
| position absolute | |
| top 0 | |
| right 0 | |
| .g-axis | |
| line, path | |
| stroke $gray-lighter | |
| text | |
| fill $gray | |
| .g-axis .axis__label | |
| text-transform uppercase | |
| font-size $small-font | |
| letter-spacing 0.05em | |
| fill $gray | |
| .item | |
| fill-opacity 0.75 | |
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