Built with blockbuilder.org
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<meta charset="utf-8">
<style>
svg
{
font: 10px sans-serif;
padding: 10px;
}
.axis,
.frame
{
shape-rendering: crispEdges;
}
.axis line
{
stroke: #ddd;
}
.axis path
{
display: none;
}
.cell text
{
font-weight: bold;
text-transform: capitalize;
}
.frame
{
fill: none;
stroke: #aaa;
}
.tooltip {
position: absolute;
width: 200px;
height: 75px;
background: white;
}
circle
{
fill-opacity: 0;
}
circle.hidden
{
fill: #ccc !important;
}
.extent
{
fill: #000;
fill-opacity: .125;
stroke: #fff;
}
</style>
<body>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script>
var width = 960,
size = 110,
padding = 20;
var x = d3.scale.linear()
.range([padding / 2, size - padding / 2]);
var y = d3.scale.linear()
.range([size - padding / 2, padding / 2]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(5)
.tickFormat(function(d, i)
{
return d/1000 + "k";
});
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5)
.tickFormat(function(d, i)
{
return d/1000 + "k";
});
d3.csv("DataFinal.csv", function(error, data)
{
if (error) throw error;
var domainPerField = {},
field = d3.keys(data[0]).filter(function(d) { return d !== "Occupation"; }),
n = field.length;
field.forEach(function(field1)
{
domainPerField[field1] = d3.extent(data, function(d) { return +d[field1]; });
});
xAxis.tickSize(size * n);
yAxis.tickSize(-size * n);
var svg = d3.select("body").append("svg")
.attr("width", size * n + padding)
.attr("height", size * n + padding)
.append("g")
.attr("transform", "translate(" + padding + "," + padding / 2 + ")");
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
svg.selectAll(".x.axis")
.data(field)
.enter().append("g")
.attr("class", "x axis")
.attr("transform", function(d, i) { return "translate(" + (n - i - 1) * size + ",0)"; })
.each(function(d) { x.domain(domainPerField[d]); d3.select(this).call(xAxis); });
svg.selectAll(".y.axis")
.data(field)
.enter().append("g")
.attr("class", "y axis")
.attr("transform", function(d, i) { return "translate(0," + i * size + ")"; })
.each(function(d) { y.domain(domainPerField[d]); d3.select(this).call(yAxis); });
var cell = svg.selectAll(".cell")
.data(cross(field, field))
.enter()
.append("g")
.attr("class", "cell")
.attr("transform", function(d)
{
return "translate(" + (n - d.i - 1) * size + "," + d.j * size + ")";
})
.each(plot);
// Titles for the diagonal.
cell.filter(function(d){ return d.i === d.j;})
.append("text")
.attr("x", padding)
.attr("dx", "-1.01em")
.attr("y", padding)
.attr("dy", "-1.2em")
.text(function(d)
{
if(d.x === "earningsMen")
{
return "Median Mens Earning (Weekly)";
}
else if(d.x === "earningsWomen")
{
return "Median Womens Earning (Weekly)";
}
else if(d.x === "earningsTotal")
{
return "Median Total Earnings (Weekly)";
}
else if(d.x === "workersWomen")
{
return "Women Workers (In Thousands)";
}
else if(d.x === "workersMen")
{
return "Men Workers (In Thousands)";
}
});
function plot(p)
{
var cell = d3.select(this);
x.domain([0,d3.max(domainPerField[p.x])+100]);
y.domain([0,d3.max(domainPerField[p.y])+100]);
cell.append("rect")
.attr("class", "frame")
.attr("x", padding / 2)
.attr("y", padding / 2)
.attr("width", size - padding)
.attr("height", size - padding);
cell.selectAll("circle")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) { return x(d[p.x]); })
.attr("cy", function(d) { return y(d[p.y]); })
.attr("r", 2)
.style("stroke", function(d)
{
if(p.y === "workersMen")
{
var colorScale = d3.scale.linear()
.domain([51, 1869])
.range(["#b3ffb3","#003300"]);
return colorScale(+d[p.y]);
}
else if(p.y === "workersTotal")
{
var colorScale = d3.scale.linear()
.domain([105, 2960])
.range(["#b3ffb3","#003300"]);
return colorScale(+d[p.y]);
}
else if(p.y === "earningsMen")
{
var colorScale = d3.scale.linear()
.domain([407, 2419])
.range(["#b3ffb3","#003300"]);
return colorScale(+d[p.y]);
}
else if(p.y === "earningsTotal")
{
var colorScale = d3.scale.linear()
.domain([414, 2303])
.range(["#b3ffb3","#003300"]);
return colorScale(+d[p.y]);
}
else if(p.y === "workersWomen")
{
var colorScale = d3.scale.linear()
.domain([51, 2231])
.range(["#b3ffb3","#003300"]);
return colorScale(+d[p.y]);
}
else if(p.y === "earningsWomen")
{
var colorScale = d3.scale.linear()
.domain([403, 1876])
.range(["#b3ffb3","#003300"]);
return colorScale(+d[p.y]);
}
else
{
var colorScale = d3.scale.linear()
.domain([.405, .79])
.range(["#b3ffb3","#003300"]);
return colorScale(+d[p.y]);
}
})
.on("mouseover", function(d) {
var y;
var x;
if(p.y === "workersMen")
{
y = "Men Workers (thousands): "
}
else if(p.y === "workersWomen")
{
y = "Women Workers (thousands): "
}
else if(p.y === "earningsWomen")
{
y = "Average Women Earning: "
}
else if(p.y === "earningsMen")
{
y = "Average Men Earning: "
}
else if(p.y === "earningsTotal")
{
y = "Average Overall Earning: "
}
if(p.x === "workersMen")
{
x = "Men Workers (thousands): "
}
else if(p.x === "workersWomen")
{
x = "Women Workers (thousands): "
}
else if(p.x === "earningsWomen")
{
x = "Average Women Earning: "
}
else if(p.x === "earningsMen")
{
x = "Average Men Earning: "
}
else if(p.x === "earningsTotal")
{
x = "Average Overall Earning: "
}
tooltip.transition()
.duration(200)
.style("opacity", .9);
tooltip.html(d.Occupation + "<br/>" +
y +d[p.y]
+ "<br/> "+ x +d[p.x])
.style("left", (d3.event.pageX + 5) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
tooltip.transition()
.duration(500)
.style("opacity", 0);
});
;
}
});
function cross(a, b)
{
var c = [], n = a.length, m = b.length, i, j;
for (i = -1; ++i < n;) for (j = -1; ++j < m;)
{
c.push({x: a[i], i: i, y: b[j], j: j});
}
return c;
}
</script>
https://d3js.org/d3.v3.min.js