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interviewing.io: mean lines
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<!DOCTYPE html> | |
<head> | |
<meta charset="utf-8"> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3-legend/1.8.0/d3-legend.min.js"></script> | |
<style> | |
body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; } | |
svg { width:100%; height: 100% } | |
path { | |
fill: none; | |
stroke-width: 3; | |
stroke-opacity: 0.4; | |
} | |
line.legend { | |
stroke: #c4c4c4; | |
stroke-width: 1; | |
} | |
g.cell { | |
cursor: pointer; | |
} | |
</style> | |
</head> | |
<body> | |
<script> | |
// Feel free to change or delete any of the code you see! | |
var svg = d3.select("body").append("svg") | |
.append("g").attr({ | |
transform: "translate(0, -70)" | |
}) | |
d3.json("interviews.json", function(err, interviews) { | |
console.log(interviews) | |
var maxLength = d3.max(interviews, function(d) { return d.length }); | |
console.log("maxLength", maxLength) | |
function ranges(mean) { | |
if(mean <= 4 && mean >= 3.5) { | |
return 4; | |
} else if(mean < 3.5 && mean >= 2.75) { | |
return 3; | |
} else if(mean < 2.75) { | |
return 2; | |
} | |
} | |
var meanData = [] ; interviews.forEach(function(interview, index) { | |
var mean = d3.mean(interview); | |
var points = interview.map(function(score,i) { | |
return { | |
score: score, | |
mean: mean, | |
index: index | |
} | |
}) | |
points.mean = mean; | |
points.index = index; | |
meanData.push(points) | |
}) | |
var xScale = d3.scale.linear() | |
.domain([0, maxLength]) | |
.range([50, 700]) | |
var yScale = d3.scale.linear() | |
.domain([1, 4]) | |
.range([500, 100]) | |
var colorScale = d3.scale.linear() | |
.domain([1, 2, 3, 4]) | |
.range(["#ff0f5f", "#e63ba8", "#ba48d9", "#267fd3"]) | |
var meanPath = d3.svg.line() | |
.x(function(d,i) { | |
return xScale(i); | |
}) | |
.y(function(d,i) { | |
return yScale(d.mean) | |
}) | |
var fullPath = d3.svg.line() | |
.x(function(d,i) { | |
return xScale(i); | |
}) | |
.y(function(d,i) { | |
return yScale(d.score) | |
})//.interpolate("basis") | |
svg.append("g") | |
.attr("class", "legendOrdinal") | |
.attr("transform", "translate(50,100)"); | |
var legendScale = d3.scale.linear() | |
.domain([4,3,2,1]) | |
.range(colorScale.range().reverse()) | |
var legendOrdinal = d3.legend.color() | |
.shapeWidth(40) | |
.shapeHeight(40) | |
.shapePadding(94) | |
.cells(4) | |
.scale(legendScale); | |
svg.select(".legendOrdinal") | |
.call(legendOrdinal); | |
var linesX = 100; | |
var linesY = 113; | |
svg.selectAll("line.legend").data(d3.range(4).reverse()) | |
.enter().append("line").classed("legend", true) | |
.attr({ | |
x1: function(d) { return linesX + xScale.range()[0]}, | |
y1: function(d) { return yScale(d) - linesY}, | |
x2: function(d) { return linesX + xScale.range()[1]}, | |
y2: function(d) { return yScale(d) - linesY}, | |
}) | |
var meanLines = svg.selectAll("path.mean") | |
.data(meanData, function(d) { return d.index}) | |
meanLines.enter().append("path").classed("mean", true) | |
meanLines.attr({ | |
d: function(d) { return meanPath(d) }, | |
stroke: function(d) { return colorScale(d.mean) }, | |
transform: function(d,i){ | |
return "translate(" + [150 + xScale(maxLength)/2 - xScale(d.length)/2, 20] + ")"; | |
} | |
}) | |
var useMean = {}; | |
function normalize() { | |
meanLines | |
.transition() | |
.attr({ | |
d: function(d) { return meanPath(d) }, | |
stroke: function(d) { return colorScale(d.mean) }, | |
}) | |
} | |
d3.selection.prototype.moveToFront = function() { | |
return this.each(function(){ | |
this.parentNode.appendChild(this); | |
}); | |
}; | |
legendOrdinal.on("cellclick", function(category) { | |
useMean[category] = !useMean[category] | |
d3.range(4).forEach(function(i) { | |
if(i === category) return; | |
useMean[i] = false; | |
}) | |
if(!useMean[category]) { | |
return normalize(); | |
} | |
var select = svg.selectAll("path.mean").data(meanData, function(d) { return d.index}) | |
select | |
.transition() | |
.attr({ | |
d: function(d) { return meanPath(d)}, | |
stroke: function(d) { return "#ececec" }, | |
}) | |
select | |
.filter(function(d) { | |
return ranges(d.mean) === category | |
//return d.mean <= category + 0.75 && d.mean >= category - 0.25 | |
}) | |
.each(function() { | |
d3.select(this).moveToFront(); | |
}) | |
.transition().duration(0) | |
.attr({ | |
stroke: function(d) { return colorScale(d.mean) }, | |
}) | |
.transition() | |
.duration(950) | |
.delay(function(d,i) { return i * 80}) | |
.attr({ | |
d: function(d) { return fullPath(d); }, | |
}) | |
}) | |
}) | |
</script> | |
</body> |
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[[3,3,4],[3,3,3,3,3,3,4,3],[2,3,3,3,3],[3,3],[2,3,3],[4,2,4],[3,2,3,4,3,2],[3,2,4,3,2,3,2,3,4,3,3,2,4,3,4,4,3],[3,4,3,1,4,3,4,3],[4,4,3],[2,3,2],[3,3,4,3,3,4,4,2,3,4,4],[3,2,2],[2,1,3,3,2,3,2,3],[4,3,3,4,4,4],[3,4,4,3,3,3,4,3,4,2,4],[3,4,3,3,4],[3,2,3,3,2],[2,2,3,3,2,2,4,4,2,3,3],[3,3,4,3,4,4,4],[2,3],[3,3,2,3],[2,2],[3,3,3,3,3,3,2,3,3,3,4,3,2],[1,2,3,2,3,2],[1,3,3,2],[2,2,3,3],[4,3],[3,3],[3,2,2,2,3,3,3,2,2],[4,3,3],[4,3,4],[3,3,3,2,2,3,4],[3,3,4,3,2,4,4,3],[2,4,2,3],[3,4,3],[3,3,4,4,3,2,4],[4,4,4,4],[3,3,3],[4,4],[3,2,4,4,4],[3,4],[3,3,2],[4,4,4],[3,3,3,3,3,3],[3,2],[3,3,2],[3,3],[2,2,3,3,3],[3,4,3,3],[3,3],[2,2],[2,2],[3,4,3,3,3],[2,2],[3,4],[4,4,4,4,4],[4,3],[2,3],[2,2,3],[3,2,4],[2,4,3,3],[3,3],[3,3],[2,3],[4,3],[4,3]] |
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