2024-08-19 https://pol.is/4jbpxizvxf https://pol.is/api/v3/participationInit?conversation_id=4jbpxizvxf&pid=mypid&lang=acceptLang The data returned by this API as initData js

pca = JSON.parse(initData["pca"])
 
xs = pca["base-clusters"]["x"]
ys = pca["base-clusters"]["y"]
ids = pca["base-clusters"]["id"]
 
// Create id->(x,y) correspondence
const idToCoordinates = {};
 
ids.forEach((id, index) => {
    idToCoordinates[id] = {
        x: xs[index],
        y: ys[index]
    };
});
 
 
// Extract cluster information from pca["group-clusters"].
const groupClusters = pca["group-clusters"];
 
// Create data for each cluster
data = []
const clusterData = groupClusters.forEach((cluster, index) => {
  cluster.members.forEach((id)=>{
    data.push({
      cluster: index, 
      ...idToCoordinates[id]
    });
  });
});
 
// SVG Settings
const width = 600;
const height = 400;
const margin = {top: 20, right: 20, bottom: 30, left: 40};
 
const svg = d3.select("#scatter-plot")
.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})`);
 
// Scale settings
const xScale = d3.scaleLinear()
.domain(d3.extent(data, d => d.x))
.range([0, width]);
 
const yScale = d3.scaleLinear()
.domain(d3.extent(data, d => d.y))
.range([height, 0]);
 
// Add Axis
svg.append("g")
  .attr("transform", `translate(0,${height})`)
  .call(d3.axisBottom(xScale));
 
svg.append("g")
  .call(d3.axisLeft(yScale));
 
 
 
// Color Scale Settings
const colorScale = d3.scaleOrdinal(d3.schemeCategory10);
 
// Scatter plot
svg.selectAll("circle")
  .data(data)
  .enter()
  .append("circle")
  .attr("cx", d => xScale(d.x))
  .attr("cy", d => yScale(d.y))
  .attr("r", 5)
  .style("fill", d => colorScale(d.cluster));
 
// Add label
svg.selectAll("text")
  .data(data)
  .enter()
  .append("text")
  .attr("x", d => xScale(d.x) + 10)
  .attr("y", d => yScale(d.y))
  .text(d => d.label)
  .style("font-size", "12px");
 
 
// Convex Hull generation function
console.log("hello");
 
// Group data by cluster
const clusters = d3.group(data, d => d.cluster);
 
// Convex Hull Drawing
const hull = d3.polygonHull;
clusters.forEach((points, cluster) => {
  const hullPoints = hull(points.map(d => [xScale(d.x), yScale(d.y)]));
  if (hullPoints) {
    svg.append("path")
      .datum(hullPoints)
      .attr("d", d => `M${d.join("L")}Z`)
      .attr("fill", colorScale(cluster))
      .attr("fill-opacity", 0.2)
      .attr("stroke", colorScale(cluster))
      .attr("stroke-width", 2);
  }
});

image https://codepen.io/nishiohirokazu/pen/WNqMJxw?editors=0010

image They can be made in the same cluster shape, just upside down.

d3.polygonHull


This page is auto-translated from /nishio/Polis2024-08-20 using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I’m very happy to spread my thought to non-Japanese readers.