Published
Edited
May 1, 2021
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chart = {
let transform = d3.zoomIdentity; //ZOOM
const links = data.links.map(d => Object.create(d));
const nodes = data.nodes.map(d => Object.create(d));

const simulation = d3
.forceSimulation(nodes)
.force("link", d3.forceLink(links).id(d => d.id))
.force("charge", d3.forceManyBody().strength(-50))
.force("center", d3.forceCenter(width / 2, height / 2))
.force("collision", d3.forceCollide(d => 10));

const svg = d3
.create("svg")
.attr("height", height)
.attr("width", width);

const link = svg
.append("g")
.attr("stroke", "#999")
.attr("stroke-opacity", 0.6)
.selectAll("line")
.data(links)
.join("line")
.attr("stroke-width", d => d.pence_owed);

const node = svg
.append("g")
.attr("stroke", "#fff")
.attr("stroke-width", 1.5)
.selectAll("circle")
.data(nodes)
.join("circle")
.attr("r", d => 10)
.attr("fill", color)
.on("mouseover", tooltip_in)
.on("mouseout", tooltip_out)
.call(drag(simulation));

const textElems = svg
.append('g')
.selectAll('text')
.data(nodes)
.join('text')
.text(d => d.id)
.attr('font-size', 12)
.call(drag(simulation));

simulation.on("tick", () => {
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("cx", d => d.x).attr("cy", d => d.y);

textElems
.attr("x", d => d.x + 10)
.attr("y", d => d.y)
.attr("visibility", function(d) {
if (d.degree >= 10) {
return "visible";
} else {
return "hidden";
}
});
});

//ZOOM
const zoomRect = svg
.append("rect")
.attr("width", width)
.attr("height", height)
.style("fill", "none")
.style("pointer-events", "all");

//ZOOM
const zoom = d3
.zoom()
.on("zoom", zoomed);

//ZOOM
zoomRect.call(zoom).call(zoom.translateTo, width / 2, height / 2);

//ZOOM
function zoomed() {
transform = d3.event.transform;
node.attr("transform", d3.event.transform);
link.attr("transform", d3.event.transform);
textElems.attr("transform", d3.event.transform);
}

return svg.node();
}
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md`## Tool tip`
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tooltip = d3
.select("body")
.append("div") // the tooltip always "exists" as its own html div, even when not visible
.style("position", "absolute") // the absolute position is necessary so that we can manually define its position later
.style("visibility", "hidden") // hide it from default at the start so it only appears on hover
.style("background-color", "white")
.attr("class", "tooltip")
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tooltip_in = function(event, d) { // pass event and d to this function so that it can access d for our data
return tooltip
.html("<h4>" + d.full_name + "<p>" + d.type + "</p>" +"<p>" + d.gender + "<p>" + d.occupation + "</p>" + "<p>" + d.location +"<p>" + "Role in court system: " + d.court + "</p>" + "</p>"+ "</h4></br><p>" + d.transactions + "</p>") // add an html element with a header tag containing the name of the node. This line is where you would add additional information like: "<h4>" + d.name + "</h4></br><p>" + d.type + "</p>" Note the quote marks, pluses and </br>--these are necessary for javascript to put all the data and strings within quotes together properly. Any text needs to be all one line in .html() here
.style("visibility", "visible") // make the tooltip visible on hover
.style("top", event.pageY + "px") // position the tooltip with its top at the same pixel location as the mouse on the screen
.style("left", event.pageX + "px"); // position the tooltip just to the right of the mouse location
}
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// name a tooltip_out function to call when the mouse stops hovering
tooltip_out = function() {
return tooltip
.transition()
.duration(50) // give the hide behavior a 50 milisecond delay so that it doesn't jump around as the network moves
.style("visibility", "hidden"); // hide the tooltip when the mouse stops hovering
}
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data = FileAttachment("updatefullgraph.json").json() // network data is almost always encoded in
// json format, so we tell Observable to read the data file
// as json
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md`## Define slider`
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import { Range } from "@observablehq/inputs"
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// define the minimum start year by getting the min of the birth years
start_year = d3.min(data.nodes, d => +d.year)
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end_year = d3.max(data.nodes, d => +d.year)
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numberOfYears = end_year - start_year
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timeScale = d3
.scaleLinear()
.domain([start_year, end_year])
.range([0, numberOfYears])
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date = year_slider
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viewof year_slider = Range([start_year, end_year], { step: 1, label: "Year" })
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md`The slider is showing ${date}`
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md `## Show and remove links and nodes based on year`
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showLinkLines => {
var filterId = [];
var allLines = svg.selectAll('line');
var allNodes = svg.selectAll('circle');
// loop over each node, and update color attribute
allLines.style("stroke-opacity", function(d, i) {
return d.year <= parseInt(date) ? 0.7 : 0;
});
allLines.exit().remove();
allNodes.style('opacity', function(d, i) {
return d.year <= parseInt(date) ? 1 : 0;
});
allNodes.exit().remove();
}
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md`## Define height`
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height = 600
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md`## Define the color scale`
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color = {
const scale = d3.scaleOrdinal(d3.schemeCategory10);
return d => scale(d.type);
}
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md`## Handle dragging`
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drag = simulation => {
function dragstarted(event) {
if (!event.active) simulation.alphaTarget(0.3).restart();
event.subject.fx = event.subject.x;
event.subject.fy = event.subject.y;
}

function dragged(event) {
event.subject.fx = event.x;
event.subject.fy = event.y;
}

function dragended(event) {
if (!event.active) simulation.alphaTarget(0);
event.subject.fx = null;
event.subject.fy = null;
}

return d3
.drag()
.on("start", dragstarted)
.on("drag", dragged)
.on("end", dragended);
}
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md`### Include D3`
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d3 = require("d3@5")
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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.
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