dataset = FileAttachment("data_complete@10.json").json()
dataset.links
dataset.nodes
myChart={
let transform = d3.zoomIdentity;
const div = html`<div style='max-width: 1200px; overflow-x: auto; padding: 0px; margin: 0px;'></div>`;
d3.select(div).selectAll("svg").remove();
const svg = d3.select(div)
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", `translate(${margin.left},${margin.top})`);
const subgraphWidth = width*2/8;
const subgraphHeight = height*1/5;
const subgraph = svg.append("g")
.attr("id", "subgraph")
.attr("transform", `translate(${width - subgraphWidth - 20}, 0)`);
subgraph.append("text")
.style("font-size","16px")
//appending little triangles, path object, as arrowhead
//The <defs> element is used to store graphical objects that will be used at a later time
//The <marker> element defines the graphic that is to be used for drawing arrowheads or polymarkers on a given <path>, <line>, <polyline> or <polygon> element.
svg.append('defs').append('marker')
.attr("id",'arrowhead')
.attr('viewBox','-0 -5 8 8') //the bound of the SVG viewport for the current SVG fragment. defines a coordinate system 8 wide and 8 high starting on (0,-5)
.attr('refX',12) // x coordinate for the reference point of the marker. If circle is bigger, this need to be bigger.
.attr('refY',0)
.attr('orient','auto')
.attr('markerWidth',5)
.attr('markerHeight',5)
.attr('xoverflow','visible')
.append('svg:path')
.attr('d', 'M 0,-5 L 10 ,0 L 0,5')
.attr('fill', '#999')
.style('stroke','none');
// Append the tittle if any
//svg.append("text")
// .text("Title")
// .attr("text-anchor","middle")
// .attr("x",width/2)
// .style("font-size","20px")
// Initialize the links
const link = svg.selectAll(".links")
.data(dataset.links)
.enter()
.append("line")
.attr("class", "links")
.attr("stroke","#999")
.attr("stroke-width","2px")
.style("opacity", 0.8)
.attr("id",d=> "line"+d.source+d.target)
.attr("class", "links")
.attr('marker-end','url(#arrowhead)') //The marker-end attribute defines the arrowhead or polymarker that will be drawn at the final vertex of the given shape.
//The <title> element provides an accessible, short-text description of any SVG container element or graphics element.
//Text in a <title> element is not rendered as part of the graphic, but browsers usually display it as a tooltip.
link.append("title")
.text(d => d.type);
const edgepaths = svg.selectAll(".edgepath") //make path go along with the link provide position for link labels
.data(dataset.links)
.enter()
.append('path')
.attr('class', 'edgepath')
.attr('fill-opacity', 0)
.attr('stroke-opacity', 0)
.attr('id', function (d, i) {return 'edgepath' + i})
.style("pointer-events", "none");
const edgelabels = svg.selectAll(".edgelabel")
.data(dataset.links)
.enter()
.append('text')
.style("pointer-events", "none")
.attr('class', 'edgelabel')
.attr('id', function (d, i) {return 'edgelabel' + i})
.attr('font-size', 10)
.attr('fill', '#aaa');
edgelabels.append('textPath') //To render text along the shape of a <path>, enclose the text in a <textPath> element that has an href attribute with a reference to the <path> element.
.attr('xlink:href', function (d, i) {return '#edgepath' + i})
.style("text-anchor", "middle")
.style("pointer-events", "none")
.attr("startOffset", "50%");
//.text(d => d.type);
// Initialize the nodes
const node = svg.selectAll(".nodes")
.data(dataset.nodes)
.enter()
.append("g")
.attr("class", "nodes")
node.call(d3.drag() //sets the event listener for the specified typenames and returns the drag behavior.
.on("start", dragstarted) //start - after a new pointer becomes active (on mousedown or touchstart).
.on("drag", dragged) //drag - after an active pointer moves (on mousemove or touchmove).
);
node.append("circle")
.attr("r", d=> 10+ d.runtime/20 )
.attr("id",d=> "circle"+d.id)
.style("stroke", d => colorScale(d.group))
.style("stroke-opacity",0.3)
//.style("stroke-width", d => d.runtime/10)
.style("fill", d => colorScale(d.group))
node.append("title")
.text(d => d.label + " - " + d.group + "min");
node.append("text")
.attr("dy", 4)
.attr("dx", -15)
.text(d => d.name);
//set up dictionary of neighbors
var neighborTarget= {};
for (var i=0; i < dataset.nodes.length; i++ ){
var id = dataset.nodes[i].id;
neighborTarget[id] = dataset.links.filter(function(d){
return d.source == id;
}).map(function(d){
return d.target;
})
}
var neighborSource = {};
for (var i=0; i < dataset.nodes.length; i++ ){
var id = dataset.nodes[i].id;
neighborSource[id] = dataset.links.filter(function(d){
return d.target == id;
}).map(function(d){
return d.source;
})
}
console.log("neighborSource is ",neighborSource);
console.log("neighborTarget is ",neighborTarget);
node.selectAll("circle").on("click",function(d){
var active = d.active? false : true // toggle whether node is active
, newStroke = active ? "yellow":"grey"
, newStrokeIn = active ? "green":"grey"
, newStrokeOut = active? "red": "grey"
, newOpacity = active? 0.6: 0.3
, subgraphOpacity = active? 0.9:0;
subgraph.selectAll("text")
.text("Selected: " +d.label)
.attr("dy",14)
.attr("dx",14)
//extract node's id and ids of its neighbors
var id =d.id
, neighborS = neighborSource[id]
, neighborT = neighborTarget[id];
console.log("neighbors is from ",neighborS," to ", neighborT);
d3.selectAll("#circle"+id).style("stroke-opacity", newOpacity);
d3.selectAll("#circle"+id).style("stroke", newStroke);
d3.selectAll("#subgraph").style("opacity",subgraphOpacity)
//highlight the current node and its neighbors
for (var i =0; i < neighborS.length; i++){
d3.selectAll("#line"+neighborS[i]+id).style("stroke", newStrokeIn);
d3.selectAll("#circle"+neighborS[i]).style("stroke-opacity", newOpacity).style("stroke", newStrokeIn);
}
for (var i =0; i < neighborT.length; i++){
d3.selectAll("#line"+id+neighborT[i]).style("stroke", newStrokeOut);
d3.selectAll("#circle"+neighborT[i]).style("stroke-opacity", newOpacity).style("stroke", newStrokeOut);
}
//update whether or not the node is active
d.active =active;
})
//Listen for tick events to render the nodes as they update in your Canvas or SVG.
simulation
.nodes(dataset.nodes)
.on("tick", ticked);
simulation.force("link")
.links(dataset.links);
// This function is run at each iteration of the force algorithm, updating the nodes position (the nodes data array is directly manipulated).
function ticked() {
link.attr("x1", d => d.source.x)
.attr("y1", d => d.source.y)
.attr("x2", d => d.target.x)
.attr("y2", d => d.target.y);
node.attr("transform", d => `translate(${d.x},${d.y})`);
edgepaths.attr('d', d => 'M ' + d.source.x + ' ' + d.source.y + ' L ' + d.target.x + ' ' + d.target.y);
}
//When the drag gesture starts, the targeted node is fixed to the pointer
//The simulation is temporarily “heated” during interaction by setting the target alpha to a non-zero value.
function dragstarted(d) {
if (!d3.event.active) simulation.alphaTarget(0.3).restart();//sets the current target alpha to the specified number in the range [0,1].
d.fy = d.y; //fx - the node’s fixed x-position. Original is null.
d.fx = d.x; //fy - the node’s fixed y-position. Original is null.
}
//When the drag gesture starts, the targeted node is fixed to the pointer
function dragged(d) {
d.fx = d3.event.x;
d.fy = d3.event.y;
}
//drawing the legend
const legend_g = svg.selectAll(".legend")
.data(colorScale.domain())
.enter().append("g")
.attr("transform", (d, i) => `translate(${width},${i * 20})`);
legend_g.append("circle")
.attr("cx", 0)
.attr("cy", 0)
.attr("r", 5)
.attr("fill", colorScale);
legend_g.append("text")
.attr("x", 10)
.attr("y", 5)
.text(d => d);
return div
}
function zoom(svg) {
const extent = [[margin.left, margin.top], [width - margin.right, height - margin.top]];
svg.call(d3.zoom()
.scaleExtent([1/8, 2])
.translateExtent(extent)
.extent(extent)
.on("zoom", zoomed));
function zoomed() {
let transform = d3.zoomIdentity;
transform = d3.event.transform;
svg.selectAll("circle")
.attr("transform", d3.event.transform);
svg.selectAll("line")
.attr("transform", d3.event.transform);
}
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
