let species = ['Adelie', 'Chinstrap', 'Gentoo'];

let traits = {};

​

function preload() {

  penguinData = loadTable('palmerpenguins_extended.csv', 'csv', 'header');

}

​

function setup() {

  createCanvas(800, 600);

  background(240);

  // Analyze data and count trait occurrences

  for (let row of penguinData.rows) {

    let speciesName = row.get('species');

    if (!traits[speciesName]) traits[speciesName] = {};

    countTrait(speciesName, 'diet', row.get('diet'));

    countTrait(speciesName, 'island', row.get('island'));

    countTrait(speciesName, 'health', row.get('health_metrics'));

    // Add more traits as needed

  }

  // Draw trait clouds for each species

  for (let i = 0; i < species.length; i++) {

    drawTraitCloud(species[i], 200 + i * 250, 300);

  }

}

​

function countTrait(species, traitType, value) {

  if (!traits[species][traitType]) traits[species][traitType] = {};

  traits[species][traitType][value] = (traits[species][traitType][value] || 0) + 1;

}

​

function drawTraitCloud(species, x, y) {

  textAlign(CENTER, CENTER);

  fill(0);

  textSize(24);

  text(species, x, y - 150);

  for (let traitType in traits[species]) {

    for (let value in traits[species][traitType]) {

      let size = map(traits[species][traitType][value], 0, 100, 12, 36);

      textSize(size);

      text(value, x + random(-100, 100), y + random(-100, 100));

    }

  }

}