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Weighted pivot scatter plot v2
Raw
.block
license: mit
height: 500
border: no
Raw
README.md
Raw
dist.css
*{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}
Raw
dist.js
"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 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"),l=c.append("g").attr("class","axis axis--y");s.append("text").attr("class","axis__label").attr("text-anchor","start").text("Quantity"),l.append("text").attr("class","axis__label").attr("text-anchor","start").text("Quality")}function e(t){t.container,t.data}function n(t){var a=t.data,e=g*p/100,n=x*m/100,r=Math.floor(1.5*FONT_SIZE);l.domain([0,MAX_VAL]).range([0,e]),o.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",f).attr("height",h);var r=n.select("g"),i=x-x*m/100;r.attr("transform",t(1.5*s,s+i));var c=r.select(".g-plot"),g=c.selectAll(".item").data(function(t){return t},function(t){return t.index});g.enter().append("circle").attr("class","item").merge(g).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(l(a.x),o(a.y))})}function i(a){var e=a.container,n=(a.data,e.select(".g-axis")),r=d3.axisLeft(o),i=d3.axisBottom(l);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=x*m/100,u=Math.ceil(s/2);c.attr("transform",t(0,u+d)).call(i);var f=n.select(".axis--y");f.attr("transform",t(-u,0)).call(r),c.select(".axis__label").attr("y",s-1),f.select(".axis__label").attr("x",-d).attr("y",-s+FONT_SIZE).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,l=d3.scaleLinear(),o=d3.scaleLinear(),d=d3.scaleSqrt(),u=d3.scaleQuantile(),f=0,h=0,g=0,x=0,p=50,m=50;return c.width=function(){return arguments.length?(f=arguments.length<=0?void 0:arguments[0],g=f-2.5*s,c):f},c.height=function(){return arguments.length?(h=arguments.length<=0?void 0:arguments[0],x=h-2.5*s,c):h},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--2"),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--2')\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 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\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', 'start')\n\t\t\t.text('Quality')\t\n\t}\n\n\tfunction exit({ container, data }) {\n\t}\n\n\tfunction updateScales({ data }) {\n\t\tconst rangeX = chartWidth * weightX / 100\n\t\tconst rangeY = chartHeight * weightY / 100\n\t\tconst maxR = Math.floor(FONT_SIZE * 1.5)\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 offset = chartHeight - (chartHeight * weightY / 100)\n\t\tg.attr('transform', translate(margin * 1.5, margin + offset))\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 offset = chartHeight * weightY / 100\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 + FONT_SIZE)\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"]}
Raw
index.html
<!DOCTYPE html>
<title>weighted pivot scatter plot v2</title>
<link href='dist.css' rel='stylesheet' />
<body>
<div class='graphic graphic--2'>
<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>
Raw
script.js
const graphic = d3.select('.graphic--2')
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 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
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', 'start')
.text('Quality')
}
function exit({ container, data }) {
}
function updateScales({ data }) {
const rangeX = chartWidth * weightX / 100
const rangeY = chartHeight * weightY / 100
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 offset = chartHeight - (chartHeight * weightY / 100)
g.attr('transform', translate(margin * 1.5, margin + offset))
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 offset = chartHeight * weightY / 100
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 + FONT_SIZE)
.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()
Raw
style.styl
$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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