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window.initColumns = function(id, metrics, measures){
var c = d3.conventions({
sel: d3.select(id).html('').st({width: 775, margin: '0px auto', left: 27}),
margin: {left: 260, top: 40},
height: 600,
})
var sets = d3.range(numRows).map(i => {
var shapes = columnShapes[i]
shapes = _.sortBy(shapes, d => d.shape)
shapes = _.sortBy(shapes, d => d.size)
shapes = _.sortBy(shapes, d => d.color)
shapes = _.sortBy(shapes, d => d.color == 'green' ? 0 : 1)
shapes.nG = d3.sum(shapes, d => d.color == 'green')
shapes.nB = d3.sum(shapes, d => d.color == 'blue')
shapes.nO = d3.sum(shapes, d => d.color == 'orange')
shapes.nR = d3.sum(shapes, d => d.color == 'red')
shapes.forEach((d, i) => {
d.i = i
d.sizeVal = d.sizeVal < 1 ? .6 : 1
})
shapes.i = i
return shapes
})
var colW = 200
var colWpad = 50
var colH = 20
var colHpad = 10
var offsetW = -20
var colSel = c.svg.appendMany('g', measures)
.translate((d, i) => [.5 + i*(colW + colWpad) + offsetW, .5])
colSel.append('text').text(d => d.ranking_display_text)
.at({y: -20, textAnchor: 'middle', x: colW/2, fontWeight: 600, })
var rowSel = colSel.appendMany('g.row', sets)
.translate(d => d.i*(colH + colHpad), 1)
var colMean = colSel.filter((d, i) => i === 0)
var colMin = colSel.filter((d, i) => i === 1)
var scoreLabelsMean = colMean.selectAll('.row').append('text')
.at({x: -5, y: 15, textAnchor: 'end'})
.st({fontSize: '13px', opacity: .7})
var scoreLabelsMin = colMin.selectAll('.row').append('text')
.at({x: 222, y: 15, textAnchor: 'end'})
.st({fontSize: '13px', opacity: .7})
colSel.each(function(d, i){
d.rowSel = d3.select(this).selectAll('.row')
c.svg.append('marker')
.attr('id', 'arrow')
.attr('viewBox', '-10 -10 20 20')
.attr('markerWidth', 20)
.attr('markerHeight', 20)
.attr('orient', 'auto')
.append('path')
.attr('d', 'M-6.75,-6.75 L 0,0 L -6.75,6.75')
.at({fill: '#000'})
if (i){
var pathstr = ['M', 160, -25, 'C', 215, -25, 215, -25, 215, -5].join(' ')
} else{
var pathstr = ['M', 35, -25, 'C', -20, -25, -20, -25, -20, -5].join(' ')
}
d3.select(this).append('path')
.at({stroke: '#000', fill: 'none', d: pathstr, markerEnd: 'url(#arrow)', strokeWidth: .6})
})
var s = colH
var p = 2
var l0Sel = c.svg.appendMany('path.set', sets).classed('set1', true)
.translate(d => [colW + offsetW, s/2 + .5])
drawRow(rowSel)
function drawRow(rowSel){
rowSel.append('rect.set.no-stroke')
.at({x: -p, y: -p, width: colW + p*2, height: colH + p*2, fill: '#fff'}).classed('set1', true)
rowSel.appendMany('g', d => d)
.translate(d => [d.i*s + s/2, s/2])
.each(function(d){
var sOffset = 12
var classNames = [d.shape, d.size, d.color, 'rank-item'].join(' ')
var shapeSel = d3.select(this).append('rect')
.at({
x: -s/2,
y: -s/2 + (d.size == 'small' ? sOffset/2 : 0) - .5,
width: s - .5,
height: s - (d.size == 'small' ? sOffset : 0),
fill: d.fill,
class: classNames
})
if (d.shape == 'triangle'){
var shapeSel = d3.select(this).append('circle')
.at({r: 2, fill: '#fff', stroke: '#000', strokeWidth: .5, class: classNames})
}
})
}
var setSel = c.svg.selectAll('.set1')
.on('mouseover', selectSet)
sets.selected = sets[0]
function selectSet(set){
sets.selected = set
sets.forEach(d => d.selected = d == set)
setSel
.classed('selected', d => d.selected)
.filter(d => d.selected)
.lower()
rowSel.classed('selected', d => d.selected)
sliders.render()
}
var sliders = makeSliders(metrics, sets, c, selectSet, drawRow, () => {
sets.forEach(shapes => {
shapes.score = metrics.map(m => {
var v = d3.sum(shapes, (d, i) => shapes[i][m.field] == m.key)
return Math.abs(m.target - v/shapes.length)
})
})
measures.forEach(m => {
sets.forEach(shapes => {
shapes[m.str] = m.fn(shapes.score)
})
_.sortBy(sets, d => d[m.str] + d.i/10000000)//.reverse()
.forEach((d, i) => d['i' + m.str] = i)
m.rowSel.translate(d => d['i' + m.str]*(colH + colHpad), 1)
})
var p = 0
l0Sel.at({d: d => [
'M', p, d['iUtilitarian']*(colH + colHpad),
'L', colWpad - p, d['iEgalitarian']*(colH + colHpad),
].join(' ')})
scoreLabelsMean.text(d => {
return d3.format('.2f')(d['Utilitarian'])// + '%'
})
scoreLabelsMin.text(d => {
return measures[1].ppFn(d['score']).replace('%', '')// + '%'
})
})
sliders.render()
selectSet(_.sortBy(sets, d => d.iEgalitarian)[0])
}
window.initColumns('#columns-height', metrics1, measures)
window.initColumns('#columns-height-disagree', metrics2, measures2)
// Only highlight green items in the second ranking chart.
d3.select('#columns-height-disagree').selectAll('.rank-item').at({opacity: .3})
d3.select('#columns-height-disagree').selectAll('.green').at({opacity: 1})
// Only highlight the green slider in the second ranking chart.
d3.select('#columns-height-disagree').selectAll('.slider').at({opacity: d => {
return d.key !== 'green' ? 0.35: 1
}})
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