David Bautista
r_scale = d3.scalePow().exponent(0.5).range([2, 7]).domain(d3.extent(n4.map(d => d.retweets/1)))
r_scale(n4[40].retweets/1)
chart = {
const links = l4.map(d => Object.create(d));
const nodes = n4.map(d => Object.create(d));
var div = d3.select("body").append("div");
div.attr("class", "tooltip")
.style("opacity", 0);
const gethtml = (node) => {
return `<div style="z-index: 100000">Usuario: ${node.url.split("/")[3]}</div> <div>rtweets: ${node.retweets}</div> <a href="${node.url}" target="_blank"> ir al tweet</a>`;
}
const simulation = d3.forceSimulation(nodes)
.force("link", d3.forceLink(links).id(d => d.id))
.force("charge", d3.forceManyBody().strength(-140).distanceMax(50).distanceMin(10))
.force("center", d3.forceCenter(width / 2, height / 2));
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", 1);
const node = svg.append("g")
.attr("stroke", "#fff")
.attr("stroke-width", 1.5)
.selectAll("circle")
.data(nodes)
.join("circle")
.attr("r", d => r_scale(d.retweets/1))
.attr("fill", d => d["es_quote"] == 1 || d["es_retweet"] == 1? "steelblue" : "firebrick")
.on('mouseover', function (d, i) {
d3.select(this).transition()
.duration('50')
.attr('opacity', '.85');
div.transition()
.duration(50)
.style("opacity", 1);
let num = 50;
div.html(gethtml(d))
.style("left", (d3.event.pageX + 10) + "px")
.style("top", (d3.event.pageY - 15) + "px");
})
.on('mouseout', function (d, i) {
d3.select(this).transition()
.duration('50')
.attr('opacity', '1');
div.transition()
.duration(50)
.style("opacity", 0);
})
.on("click", d => {
window.open(d.url, '_blank');
})
.call(drag(simulation));
simulation.on("tick", () => {
node.attr("cx", function(d) { return d.x = Math.max(5, Math.min(width - 5, d.x)); })
.attr("cy", function(d) { return d.y = Math.max(5, Math.min(height - 5, d.y)); });
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);
});
invalidation.then(() => simulation.stop());
return svg.node();
}
l=FileAttachment("links@3.json").json()
d3.extent(n["nodes"].map(d => d.weight))
n=FileAttachment("network@6.json").json()
n2 = d3.json("https://gist.githubusercontent.com/whatevercamps/53fdda09b7c8a28b2e017417462b3679/raw/72d4d876bae393b439bd98ed45f8f51de28595ff/nodos.json")
l2 = d3.json("https://gist.githubusercontent.com/whatevercamps/6452cd84a5cac4f25e7a9ed377f93118/raw/cc272dddf50fb6b1300a4153c0f883548997f47b/links.json")
n3 = d3.json("https://gist.githubusercontent.com/whatevercamps/e671f85e26517cb723341fe921e42726/raw/185bb08ac127f7e26f4a5932f856f1cc9d83771f/nodes-2.json")
l3 = d3.json("https://gist.githubusercontent.com/whatevercamps/46db1b8ee6bb2472ba9bd594a7c84b17/raw/13b9fbb6132a3b84b612f1fe08b288822afc8ae7/links-2.json")
n4 = d3.csv("https://gist.githubusercontent.com/whatevercamps/38057b66fea700e5202965147ab18888/raw/680cd81711c3e68b32b83a9cdbff7b49cab36cf7/completo_final.csv")
l4 = d3.csv("https://gist.githubusercontent.com/whatevercamps/38057b66fea700e5202965147ab18888/raw/680cd81711c3e68b32b83a9cdbff7b49cab36cf7/completo_links.csv")
style = html`<style>
div.tooltip {
position: absolute;
text-align: center;
padding: .5rem;
background: #FFFFFF;
color: #313639;
border: 1px solid #313639;
border-radius: 8px;
pointer-events: none;
font-size: 1.3rem;
}
</style>`
height=600
color = {
const scale = d3.scaleOrdinal(d3.schemeCategory10);
return d => scale(Math.sqrt(d.weight));
}
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);
}
d3 = require("d3@5", 'd3-random')
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.
