@kriztean
Published
Edited
Jun 5, 2020
var margin = {top: 80, right: 0, bottom: 10, left: 80},
width = 720,
height = 720;
var x = d3.scale.ordinal().rangeBands([0, width]),
z = d3.scale.linear().domain([0,1000]).clamp(true),
c = d3.scale.category10().domain(d3.range(10));
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.style("margin-left", -margin.left + "px")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.json("GoT_interactions_matrix_draft.json", function(miserables) {
var matrix = [],
nodes = miserables.nodes,
n = nodes.length;
// Compute index per node.
nodes.forEach(function(node, i) {
node.index = i;
node.count = 0;
matrix[i] = d3.range(n).map(function(j) { return {x: j, y: i, z: 0}; });
});
// Convert links to matrix; count character occurrences.
miserables.links.forEach(function(link) {
matrix[link.source][link.target].z += link.value;
matrix[link.target][link.source].z += link.value;
matrix[link.source][link.source].z += link.value;
matrix[link.target][link.target].z += link.value;
nodes[link.source].count += link.value;
nodes[link.target].count += link.value;
});
// Precompute the orders.
var orders = {
name: d3.range(n).sort(function(a, b) { return d3.ascending(nodes[a].name, nodes[b].name); }),
count: d3.range(n).sort(function(a, b) { return nodes[b].count - nodes[a].count; }),
group: d3.range(n).sort(function(a, b) { return nodes[b].group - nodes[a].group; })
};
// The default sort order.
x.domain(orders.name);
svg.append("rect")
.attr("class", "background")
.attr("width", width)
.attr("height", height);
var row = svg.selectAll(".row")
.data(matrix)
.enter().append("g")
.attr("class", "row")
.attr("transform", function(d, i) { return "translate(0," + x(i) + ")"; })
.each(row);
row.append("line")
.attr("x2", width);
row.append("text")
.attr("x", -6)
.attr("y", x.rangeBand() / 2)
.attr("dy", ".32em")
.attr("text-anchor", "end")
.text(function(d, i) { return nodes[i].name; });
var column = svg.selectAll(".column")
.data(matrix)
.enter().append("g")
.attr("class", "column")
.attr("transform", function(d, i) { return "translate(" + x(i) + ")rotate(-90)"; });
column.append("line")
.attr("x1", -width);
column.append("text")
.attr("x", 6)
.attr("y", x.rangeBand() / 2)
.attr("dy", ".32em")
.attr("text-anchor", "start")
.text(function(d, i) { return nodes[i].name; });
function row(row) {
var cell = d3.select(this).selectAll(".cell")
.data(row.filter(function(d) { return d.z; }))
.enter().append("rect")
.attr("class", "cell")
.attr("x", function(d) { return x(d.x); })
.attr("width", x.rangeBand())
.attr("height", x.rangeBand())
.style("fill-opacity", function(d) { return z(d.z); })
.style("fill", function(d) { return nodes[d.x].group == nodes[d.y].group ? c(nodes[d.x].group) : null; })
.on("mouseover", mouseover)
.on("mouseout", mouseout);
}
function mouseover(p) {
d3.selectAll(".row text").classed("active", function(d, i) { return i == p.y; });
d3.selectAll(".column text").classed("active", function(d, i) { return i == p.x; });
}
function mouseout() {
d3.selectAll("text").classed("active", false);
}
d3.select("#order").on("change", function() {
clearTimeout(timeout);
order(this.value);
});
function order(value) {
x.domain(orders[value]);
var t = svg.transition().duration(2500);
t.selectAll(".row")
.delay(function(d, i) { return x(i) * 4; })
.attr("transform", function(d, i) { return "translate(0," + x(i) + ")"; })
.selectAll(".cell")
.delay(function(d) { return x(d.x) * 4; })
.attr("x", function(d) { return x(d.x); });
t.selectAll(".column")
.delay(function(d, i) { return x(i) * 4; })
.attr("transform", function(d, i) { return "translate(" + x(i) + ")rotate(-90)"; });
}
var timeout = setTimeout(function() {
order("group");
d3.select("#order").property("selectedIndex", 2).node().focus();
}, 5000);
});
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.