md`# Knowledge Network - Timeline`
md`## Load CSV`
csv = FileAttachment("Knowledge Network Prototyping - Sheet1.csv").text();
data = d3.csvParse(csv, d3.autoType);
d3 = require("d3")
md`# Extract Links`
/*links = data.forEach(function(link) {
link.source = {name: link["Thing A"], type : link["Thing A Type"]};
link.target = {name: link["Thing B"], type : link["Thing B Type"]};
link.relationship = link["Relation"];
return link;
});
*/
links = data.map(function(link) {
var formattedLink = {};
//formattedLink.source = {name: link["Thing A"], type : link["Thing A Type"]};
//formattedLink.target = {name: link["Thing B"], type : link["Thing B Type"]};
formattedLink.source = link["Thing A"];
formattedLink.target = link["Thing B"];
formattedLink.relationship = link["Relation"];
formattedLink.value = 1; // use a default value for now - can change this to vary based on link strength in the future
return formattedLink;
});
/* extract array of nodes */
// for now just do the name to simplify getting the object
//items = links.map(function(link) {return link.source.name;}).concat(links.map(function(link) {return link.target.name;}));
items = links.map(function(link) {return link.source;}).concat(links.map(function(link) {return link.target;}));
nodes = Array.from(new Set(items)).map(function(item) {return {name: item};});
//nodes = Array.from(new Set(items)).map(function(item) {return item;});
chart = {
//const links = data.links.map(d => Object.create(d));
//const nodes = data.nodes.map(d => Object.create(d));
//var bodyForce = d3.forceManyBody
const simulation = d3.forceSimulation(nodes)
.force("link", d3.forceLink(links).id(d => d.name))
.force("charge", d3.forceManyBody().strength(-500).distanceMax(300))
//.force("charge", d3.forceManyBody())
//.force("center", d3.forceCenter(width / 2, height / 2))
.force("collide",d3.forceCollide(30));
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
const link = svg.append("g")
.attr("stroke", "#999")
.attr("stroke-opacity", 0.6)
.selectAll("line")
.data(links)
.join("line")
.attr("stroke-width", d => Math.sqrt(d.value));
const node = svg.append("g")
.selectAll(".node")
.data(nodes)
.join("g")
.attr('class', 'node')
.call(drag(simulation));
var radius = 8;
node.append('circle')
.attr("r", 8)
.attr("fill", function(d) {return statusColor(d.readStatus);});
node.append("text")
.text(function(d) {
return d.name;
})
.style('fill', '#000')
.style('font-size', '14px')
.style('font-family','Helvetica')
.attr('x', 9)
.attr('y', 4);
/* DATE AXIS */
var y = d3.scaleTime().range([height-100, 200]);
y.domain(d3.extent(nodes,function(d) {return d.readDate;}));
svg.append("g")
.attr("class","axis")
.attr("transform", "translate(" + width/2 +",0)")
.call(
d3.axisLeft(y)
.ticks(d3.timeMonth)
.tickSize(5)
.tickFormat(d3.timeFormat("%b %Y"))
)
.style('font-size','16px');
/* FORCE 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("transform", d => `translate(${d.x}, ${d.y})`)
.attr("cx", function(d) {
if (d.readDate != null) {
// locks the node to the axis if it has a read date
// add some jitter
// this method makes it too jittery
/*
var jitterAmount = 100;
return d.x = (width / 2) - jitterAmount/2 + Math.random()*jitterAmount;
*/
return d.x = (width / 2);
} else {
return d.x = Math.max(radius, Math.min(width - radius, d.x));
}
})
.attr("cy", function(d) {
if (d.readDate != null) {
return d.y = y(d.readDate);
} else {
return d.y = Math.max(radius, Math.min(height - radius, d.y));
}
});;
});
invalidation.then(() => simulation.stop());
return svg.node();
}
height = 1500
drag = simulation => {
function dragstarted(d) {
if (!d3.event.active) simulation.alphaTarget(0.3).restart();
d.fx = d.x;
d.fy = d.y;
}
function dragged(d) {
d.fx = d3.event.x;
d.fy = d3.event.y;
}
function dragended(d) {
if (!d3.event.active) simulation.alphaTarget(0);
d.fx = null;
d.fy = null;
}
return d3.drag()
.on("start", dragstarted)
.on("drag", dragged)
.on("end", dragended);
}
md`## Load Metadata for Nodes`
metadataCsv = FileAttachment("Knowledge Network Prototyping - Thing Data.csv").text()
nodeMetadata = d3.csvParse(metadataCsv, d3.autoType);
nodes.forEach(function(node) {
const meta = nodeMetadata.find(metadatum => metadatum["Thing"] === node.name);
//console.log(node);
node.readStatus = meta["Read Status"];
node.readDate = parseTime(meta["Read Date"]);
node.category = meta["Category"];
});
// add scales for Read Status
//statusColor = d3.scaleOrdinal(d3.schemeCategory10);
statusColor = d3.scaleOrdinal(["#1f77b4","#bcbd22","#d62728"]);
statusColor.domain = statusDomain;
statusDomain = new Set(
nodeMetadata.map(function(m) {return m["Read Status"];})
);
md`## Work on Dates`
/* parse and get extent of dates */
parseTime = d3.timeParse("%m/%d/%Y");
d3.extent(nodeMetadata.map(function(d){ return parseTime(d["Read Date"]);}));
// don't need to keep this - put it in the chart logic?
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