uoe_visualization_workshop/index.html at main · AlessiaRemondini/uoe_visualization_workshop · GitHub

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<!doctype html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>Visualization</title>

    <!-- Leaflet CSS -->
    <link
      rel="stylesheet"
      href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css"
    />
    <!-- D3 -->
    <script src="https://d3js.org/d3.v7.min.js"></script>
    <!-- Leaflet JS -->
    <script src="https://unpkg.com/leaflet@1.9.4/dist/leaflet.js"></script>

    <style>
      * {
        box-sizing: border-box;
      }

      body {
        margin: 0;
        font-family: Arial, sans-serif;
      }

      header {
        padding: 1rem;
        background: #f5f5f5;
        border-bottom: 1px solid #ddd;
      }

      main {
        display: grid;
        grid-template-columns: 1fr 1fr;
        height: calc(100vh - 70px);
      }

      /* Leaflet map */
      #map {
        height: 100%;
        width: 100%;
      }

      /* D3 visualization area */
      #viz {
        padding: 1rem;
        overflow: auto;
      }

      svg {
        width: 100%;
        height: 600px;
        border: 1px solid #ddd;
      }
    </style>
  </head>

  <body>
    <header>
      <h1>Digital Humanities Visualization</h1>
      <p>D3.js + Leaflet starter project</p>
    </header>

    <main>

      <div id="map"></div>

      <div id="viz">
        <h2>D3 Visualization</h2>
        <svg id="chart"></svg>
      </div>
    </main>

    <script>
      // add commented code for changing color/size/width etc.
      // attach the leaflet map to the div with id "map"
      const map = L.map("map").setView([55.9533, -3.1883], 5);

      // add tiles/images to the map
      L.tileLayer("https://tile.openstreetmap.org/{z}/{x}/{y}.png", {
        attribution: "&copy; OpenStreetMap contributors",
      }).addTo(map);

      // attach d3 to the asvg element where you are going to draw the visualization
      const svg = d3.select("#chart");

      // give the svg width, height, and margins for the visualization
      const width = 900;
      const height = 600;
      const margin = { top: 30, right: 30, bottom: 60, left: 60 };

      // make the svg responsive to different screen sizes
      svg.attr("viewBox", `0 0 ${width} ${height}`);

      // load the data
      d3.json("data/women_doctors_geo.json")
        .then((data) => {

          console.log(data);

          // MAP
          // go through every record in the data and add a marker to the map for each birthplace
          data.forEach((element) => {
            if (
              element.source_data?.birthplace?.lat &&
              element.source_data?.birthplace?.lon
            ) {
              L.marker([
                element.source_data.birthplace.lat,
                element.source_data.birthplace.lon,
              ])
                .addTo(map)
                .bindPopup("University of Edinburgh");
            }
          });

          // Timeline
          // clean up the data. make sure years are considered as numbers and filter out any invalid values
          const years = data
            .map((d) => Number(d.source_data?.entry_year))
            .filter((year) => Number.isFinite(year) && year > 0);

          // grouping of the years and countinrg the number per year
          const timelineData = d3
            .rollups(
              years,
              (values) => values.length,
              (year) => year,
            )
            .map(([year, count]) => ({ year, count }))
            .sort((a, b) => a.year - b.year);

          // x axis
          const x = d3
            .scaleLinear()
            .domain(d3.extent(timelineData, (d) => d.year))
            // .nice()
            .range([margin.left, width - margin.right]);

          // y axis
          const y = d3
            .scaleLinear()
            .domain([0, d3.max(timelineData, (d) => d.count)])
            // .nice()
            .range([height - margin.bottom, margin.top]);

          // append both axes to the svg
          svg
            .append("g")
            .attr("transform", `translate(0,${height - margin.bottom})`)
            .call(d3.axisBottom(x).tickFormat(d3.format("d")));

          svg
            .append("g")
            .attr("transform", `translate(${margin.left},0)`)
            .call(d3.axisLeft(y));

          // axis labels
          svg
            .append("text")
            .attr("x", width / 2)
            .attr("y", height - 15)
            .attr("text-anchor", "middle")
            .text("Entry Year");

          svg
            .append("text")
            .attr("transform", "rotate(-90)")
            .attr("x", -height / 2)
            .attr("y", 20)
            .attr("text-anchor", "middle")
            .text("Number of Records");

          // line chart
          const line = d3
            .line()
            .x((d) => x(d.year))
            .y((d) => y(d.count));

          svg
            .append("path")
            .datum(timelineData)
            .attr("fill", "none")
            .attr("stroke", "steelblue")
            .attr("stroke-width", 2)
            .attr("d", line);

          svg
            .selectAll(".point")
            .data(timelineData)
            .join("circle")
            .attr("class", "point")
            .attr("cx", (d) => x(d.year))
            .attr("cy", (d) => y(d.count))
            .attr("r", 3)
            .attr("fill", "steelblue");

            // add slider for the timeline
        })
        .catch((error) => {
          console.error("Error loading JSON:", error);
        });
    </script>
  </body>
</html>