troboukis.github.io/visualizations.html at master · troboukis/troboukis.github.io · 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" />
  <title>Visualizations | Thanasis Troboukis</title>

  <!-- Use the SAME stylesheet as your main page -->
  <link rel="stylesheet" href="style.css" />
</head>

<body>
  <header>
    <h1>Data Visualizations</h1>
    <p>Selected interactives and graphics</p>

    <a class="viz-button" href="index.html">Back to CV</a>
  </header>

  <main class="viz-list">

<section class="viz-item viz-item--full">
  <h2 class="viz-title">Air Quality</h2>

  <iframe
    class="viz-embed"
    src="./d3_air_quality/index.html"
    title="Air — Double Graph"
    loading="lazy"
  ></iframe>

  <p class="viz-desc">
    <p>
  This interactive visualization was developed with <strong>JavaScript</strong> and <strong>D3.js</strong>, using a
  <strong>force-based simulation</strong> inspired by computational physics. Each circle represents one hour of air-quality
  measurements, while <strong>centering</strong> and <strong>collision forces</strong> pack thousands of points into compact,
  non-overlapping clusters.
</p>

<p>
  The graphic loads structured environmental data and maps particulate concentrations to a
  <strong>scientifically grounded color scale</strong>, reflecting air-quality threshold logic (normal–moderate–elevated).
  When the user switches between <strong>PM 2.5</strong> and <strong>PM 10</strong>, the visualization updates by
  reconfiguring the simulation forces and re-settling the swarm, enabling fast comparison across pollutants.
</p>

<p>
  Overall, the project combines <strong>web engineering</strong>, <strong>data visualization</strong>, and
  <strong>physics-inspired algorithms</strong> to translate thousands of hourly measurements into an accessible interactive
  narrative about urban air quality.
</p>
<br>
  </p>