### Install Svelte 5

Source: https://datavisualizationwithsvelte.com/basics/svelte-5-d3-example

Installs the next version of Svelte as a development dependency. This command is essential for upgrading from Svelte 4 to Svelte 5.

```bash
npm install --save-dev svelte@next
```

--------------------------------

### Kernel Density Estimator Output Example (JSON)

Source: https://datavisualizationwithsvelte.com/basics/density-plot

An example of the output from a kernel density estimator function, which is used in conjunction with the Epanechnikov kernel. The output is an array of [x, density] pairs, where 'x' represents a data point (price in this case) and 'density' is the estimated probability density at that point.

```json
[
  [0, 0.00004286142900004286],
  [20, 0.0003520760239289236],
  [40, 0.003966650309345785],
  [60, 0.00884563675026403],
  [80, 0.00855085508550852],
  [100, 0.0068547671093640095],
  [880, 0.000014432930173483822],
  [900, 0.000005248338244903207],
  [920, 0.00017122703523996712],
  [940, 0.000009840634209193514],
  [960, 0.000013776887892870924],
  [980, 0.00012049309887256947],
  [1000, 0]
]
```

--------------------------------

### Data Structure Example

Source: https://datavisualizationwithsvelte.com/data/county_unemployment_rate

This snippet shows a typical JSON data structure used for representing geographical data, including state, county, and a rate. This format is common for feeding data into visualization components.

```json
{
  "id": "31179",
  "state": "Nebraska",
  "county": "Wayne County",
  "rate": "3.4"
}
```

--------------------------------

### Import Dependencies and Setup Data for Svelte 5 and D3

Source: https://datavisualizationwithsvelte.com/basics/force-simulations

Imports necessary D3 force modules and Svelte's onMount. Defines an interface for data points and sets up constants for chart dimensions and scaling. It also processes the input data to find the maximum ranking value.

```javascript
import {
  onMount
} from 'svelte';
import {
  forceSimulation,
  forceCenter,
  forceCollide,
  type Simulation,
  type SimulationNodeDatum
} from 'd3-force';
import data from './influencers.js';

interface DataPoint extends SimulationNodeDatum {
  username: string;
  img: string;
  ranking: number;
}

const baseWidth = 800;
const baseHeight = 500;
const scalingFactor = 1.6; // Add padding around edges

const innerWidth = baseWidth * scalingFactor;
const innerHeight = baseHeight * scalingFactor;

const maxRanking = Math.max(...data.map((d) => d.ranking));
let processedData: DataPoint[] = [];
```

--------------------------------

### Initialize and Animate 3D Scene with Three.js and Svelte

Source: https://datavisualizationwithsvelte.com/maps/svelte-threejs-example

This snippet initializes a Three.js scene within a Svelte component, loads a GLTF model, sets up animation mixing for loaded animations, and defines an animation loop. It also includes lifecycle hooks for scene setup and cleanup, along with a loading progress indicator.

```javascript
let renderer, scene, camera, controls, clock, mixer, model, container;

function initializeScene() {
  // Set up the Three.js scene, camera, renderer, and controls
  scene = new THREE.Scene();
  camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000);
  renderer = new THREE.WebGLRenderer({ antialias: true });
  renderer.setSize(container.clientWidth, container.clientHeight);
  container.appendChild(renderer.domElement);

  controls = new OrbitControls(camera, renderer.domElement);
  clock = new THREE.Clock();

  camera.position.z = 5;

  // Load the GLTF model
  const loader = new GLTFLoader();
  loader.load(
    '/path/to/your/model.gltf',
    (gltf) => {
      model = gltf.scene;
      scene.add(model);

      // Set up animations if they exist
      if (gltf.animations.length > 0) {
        mixer = new THREE.AnimationMixer(model);
        gltf.animations.forEach((clip) => {
          mixer.clipAction(clip).play(); // Play each animation clip
        });
      }

      modelLoaded = true; // Set the model loaded flag to true
      loadingProgress.set(100); // Update loading progress to 100%
    },
    (xhr) => {
      // Update loading progress based on loaded bytes
      const progress = (xhr.loaded / xhr.total) * 100;
      loadingProgress.set(progress); // Update the progress store
    },
    (error) => {
      // Log any errors encountered while loading the model
      console.error('An error occurred while loading the GLTF model:', error);
    }
  );
}

function animate() {
  // Function to animate the scene
  if (renderer && scene && camera) {
    requestAnimationFrame(animate); // Request the next animation frame
    controls.update(); // Update the controls for any changes
    const delta = clock.getDelta(); // Get the time elapsed since the last frame
    if (mixer) mixer.update(delta); // Update the animations based on elapsed time
    if (model) {
      model.rotation.y += 0.0035; // Rotate the model slightly for a dynamic view
    }
    renderer.render(scene, camera); // Render the scene from the perspective of the camera
  }
}

onMount(() => {
  // Set up the scene when the component mounts
  if (container) {
    initializeScene();
    animate();
  }
});

onDestroy(() => {
  // Cleanup function to dispose of renderer resources when component is destroyed
  if (renderer) {
    renderer.dispose();
  }
});

```

--------------------------------

### D3 Force Simulation Configuration

Source: https://datavisualizationwithsvelte.com/basics/force-simulations

This code snippet shows the core D3 force simulation setup. It initializes a simulation with data, applies a `forceCenter` to gravitate nodes towards the chart's center, and a `forceCollide` to ensure nodes do not overlap, with collision radius based on node ranking.

```javascript
const simulation = forceSimulation<DataPoint>(data.map((d) => ({ ...d })))
      .force('center', forceCenter(innerWidth / 2, innerHeight / 2))
      .force(
        'collide',
        forceCollide<DataPoint>().radius((d) => (d.ranking / maxRanking) * 50)
      );
```

--------------------------------

### Example CSV Data Format for Svelte Chart

Source: https://datavisualizationwithsvelte.com/visualizations/area-chart

Illustrates the expected CSV data format for the Svelte area chart. It includes columns for 'date', 'price', 'type1', and 'type2', with dates as strings and numeric values. This format is compatible with d3-fetch for data loading and processing.

```csv
date,price,type1,type2
2024-01-01,0.0,0.0,0.0
2024-02-01,30.0,41.0,30.0
2024-03-01,30.0,60.0,45.0
...
```

--------------------------------

### Svelte Scatter Chart Setup with D3 Scales

Source: https://datavisualizationwithsvelte.com/basics/scatter-chart-2

Sets up the Svelte component for a scatter chart, importing necessary D3 modules for data fetching and scales. It defines reactive scales for GDP, life expectancy, and population, along with color mapping for continents. Data is fetched from a CSV file and sorted by GDP.

```svelte
<<script >
  import { onMount } from 'svelte';
  import { csv } from 'd3-fetch';
  import { scaleLinear, scaleLog, scaleSqrt, scaleOrdinal } from 'd3-scale';
  import { extent } from 'd3-array';
  import AxisLeft from '$lib/components/Basics/AxisLeftV5.svelte';
  import AxisBottom from '$lib/components/Basics/AxisBottomV5.svelte';
  import Labels from '$lib/components/Basics/Labels.svelte';
  import RadialLegend from '$lib/components/Basics/RadialLegend.svelte';
  import CategoryLegend from '$lib/components/Basics/CategoryLegend.svelte';
  import Quadtree from '$lib/components/Basics/Quadtree.svelte';

  // 1. Getting the data
  let data = $state(null);

  // We will use csv from d3 to fetch the data and we'll sort it by descending gdp
  // download data on: https://datavisualizationwithsvelte.com/data/world_bank.csv
  onMount(() => {
    csv('/data/world_bank.csv')
      .then((unsorted_data) => unsorted_data.sort((a, b) => b.gdp - a.gdp))
      .then((sorted_data) => (data = sorted_data));
  });

  // 2. Dimensions, Margins & Scales

  // We will be using scale functions from D3 to map our data points
  // within the dimensions of our svg.
  // Set the scale functions when the data is available.
  let width = $state(null);

  const height = 500;
  const margin = { top: 40, right: 200, bottom: 20, left: 35 };

  const continents = [
    'North America',
    'South America',
    'Asia',
    'Europe',
    'Africa',
    'Oceania'
  ];

  // The $derived rune in Svelte 5 creates a reactive value derived from other reactive values.
  const xScale = $derived(
    data && width
      ? scaleLog()
          .domain(extent(data, (d) => +d.gdp / +d.population))
          .range([margin.left, width - margin.right])
      : null
  );

  const yScale = $derived(
    data
      ? scaleLinear()
          .domain(extent(data, (d) => +d.life_expectancy))
          .range([height - margin.bottom, margin.top])
      : null
  );

  // We use the `scaleSqrt` function from D3 to make the circle's area proportional to the data values.
  // This approach better aligns with how we perceive size, 
  // as we intuitively sense the area of a circle rather than its radius:

  const radiusScale = $derived(
    data
      ? scaleSqrt()
          .domain(extent(data, (d) => +d.population))
          .range([2, 20])
      : null
  );

  // We will use D3 scaleOrdinal for mapping a color to each continent.
  const colors = scaleOrdinal()
    .range([
      '#e0dff7',
      '#EFB605',
      '#FFF84A',
      '#FF0266',
      '#45FFC8',
      '#FFC9C9',
      '#A8a1ff',
      '#2172FF',
      '#45FFC8'
    ])
    .domain([
      'All',
      'America',
      'Asia',
      'Europe',
      'South America',
      'Oceania',
      'Africa'
    ]);
</script>

<div
  class="flex max-w-3xl flex-col items-center lg:flex-row"
  bind:clientWidth={width}>
  <div class="relative">
    {#if data && width && xScale && yScale && radiusScale}
      <Quadtree
        {data}
        {xScale}
        {yScale}
        {width}
        {height}
        {margin}
        searchRadius={30}>
        {#snippet children({ x, y, found, visible })}
          <div
            class="circle"
            style="top:{y}px;left:{x.circle}px;display: {visible
              ? 'block'
              : 'none'}; width: {radiusScale(+found.population) * 2 + 
              5}px ; height: {radiusScale(+found.population) * 2 + 5}px;" />
          <div
            class="tooltip pointer-events-none bg-gray-50 bg-opacity-90 text-gray-900"
            style="top:{y + 5}px;left:{x.square + 10}px;display: {visible
              ? 'block'
              : 'none'};">
            <h1 class="mb-1 text-base text-gray-900">{found.country}</h1>
            GDP: {Number(found.gdp / 100000000).toFixed(1) + ' Bil. $'}<br />
            Pop.: {Number(+found.population / 1000000).toFixed(1) +
              ' Mil.'}<br />
            Life Expectancy: {Number(+found.life_expectancy).toFixed(1)}
          </div>
        {/snippet}
      </Quadtree>

      <svg {width} {height}>
        <g>
          <AxisLeft {yScale} {margin} {height} {width} />
          <AxisBottom {xScale} {margin} {height} {width} />

          <Labels
            labelforx={true}
            {width}
            {height}
            {margin}
            yoffset={-30}
            xoffset={-170}
            label={'GDP per capita →'} />
          <Labels
            labelfory={true}
            textanchor={'start'}
            {width}
            {height}
            {margin}
            yoffset={10}
            xoffset={10}
            label={'Life Expectancy ↑'} />
          {#each data as d, i}
            <circle
              class={d.continent.split(' ').join('')}
              cx={xScale(+d.gdp / +d.population)}
              cy={yScale(+d.life_expectancy)}
              r={radiusScale(+d.population)}
              fill={colors(d.continent)} />
          {/each}
        </g>
      </svg>
    {/if}
  </div>
</div>
```

--------------------------------

### Display Georgia County Data in Svelte

Source: https://datavisualizationwithsvelte.com/data/county_unemployment_rate

This snippet displays a list of counties in Georgia with their corresponding IDs and rates. It's a basic example of rendering JSON data within a Svelte component, likely for tabular display or further processing.

```javascript
const data = [
  { "id": "13109", "state": "Georgia", "county": "Evans County", "rate": "4.8" },
  { "id": "13111", "state": "Georgia", "county": "Fannin County", "rate": "5" },
  { "id": "13113", "state": "Georgia", "county": "Fayette County", "rate": "4.7" },
  { "id": "13115", "state": "Georgia", "county": "Floyd County", "rate": "5.9" },
  { "id": "13117", "state": "Georgia", "county": "Forsyth County", "rate": "4.1" },
  { "id": "13119", "state": "Georgia", "county": "Franklin County", "rate": "5.5" },
  { "id": "13121", "state": "Georgia", "county": "Fulton County", "rate": "5.2" },
  { "id": "13123", "state": "Georgia", "county": "Gilmer County", "rate": "5.4" },
  { "id": "13125", "state": "Georgia", "county": "Glascock County", "rate": "6.3" },
  { "id": "13127", "state": "Georgia", "county": "Glynn County", "rate": "5" },
  { "id": "13129", "state": "Georgia", "county": "Gordon County", "rate": "5.3" },
  { "id": "13131", "state": "Georgia", "county": "Grady County", "rate": "5.4" },
  { "id": "13133", "state": "Georgia", "county": "Greene County", "rate": "5.9" },
  { "id": "13135", "state": "Georgia", "county": "Gwinnett County", "rate": "4.6" },
  { "id": "13137", "state": "Georgia", "county": "Habersham County", "rate": "5" },
  { "id": "13139", "state": "Georgia", "county": "Hall County", "rate": "4.4" },
  { "id": "13141", "state": "Georgia", "county": "Hancock County", "rate": "8.9" },
  { "id": "13143", "state": "Georgia", "county": "Haralson County", "rate": "5.6" },
  { "id": "13145", "state": "Georgia", "county": "Harris County", "rate": "4.7" },
  { "id": "13147", "state": "Georgia", "county": "Hart County", "rate": "5.3" },
  { "id": "13149", "state": "Georgia", "county": "Heard County", "rate": "5.8" },
  { "id": "13151", "state": "Georgia", "county": "Henry County", "rate": "5.4" },
  { "id": "13153", "state": "Georgia", "county": "Houston County", "rate": "5.3" },
  { "id": "13155", "state": "Georgia", "county": "Irwin County", "rate": "7.3" },
  { "id": "13157", "state": "Georgia", "county": "Jackson County", "rate": "4.1" },
  { "id": "13159", "state": "Georgia", "county": "Jasper County", "rate": "4.7" },
  { "id": "13161", "state": "Georgia", "county": "Jeff Davis County", "rate": "6.3" },
  { "id": "13163", "state": "Georgia", "county": "Jefferson County", "rate": "7" },
  { "id": "13165", "state": "Georgia", "county": "Jenkins County", "rate": "7.1" },
  { "id": "13167", "state": "Georgia", "county": "Johnson County", "rate": "6" },
  { "id": "13169", "state": "Georgia", "county": "Jones County", "rate": "4.6" },
  { "id": "13171", "state": "Georgia", "county": "Lamar County", "rate": "6.4" },
  { "id": "13173", "state": "Georgia", "county": "Lanier County", "rate": "5.3" },
  { "id": "13175", "state": "Georgia", "county": "Laurens County", "rate": "6.4" },
  { "id": "13177", "state": "Georgia", "county": "Lee County", "rate": "4.8" },
  { "id": "13179", "state": "Georgia", "county": "Liberty County", "rate": "5.7" },
  { "id": "13181", "state": "Georgia", "county": "Lincoln County", "rate": "5.7" },
  { "id": "13183", "state": "Georgia", "county": "Long County", "rate": "5.6" },
  { "id": "13185", "state": "Georgia", "county": "Lowndes County", "rate": "5.2" },
  { "id": "13187", "state": "Georgia", "county": "Lumpkin County", "rate": "5" },
  { "id": "13189", "state": "Georgia", "county": "McDuffie County", "rate": "7.2" },
  { "id": "13191", "state": "Georgia", "county": "McIntosh County", "rate": "5.5" },
  { "id": "13193", "state": "Georgia", "county": "Macon County", "rate": "7.6" },
  { "id": "13195", "state": "Georgia", "county": "Madison County", "rate": "4.7" },
  { "id": "13197", "state": "Georgia", "county": "Marion County", "rate": "6.9" },
  { "id": "13199", "state": "Georgia", "county": "Meriwether County", "rate": "6.8" },
  { "id": "13201", "state": "Georgia", "county": "Miller County", "rate": "5.5" },
  { "id": "13205", "state": "Georgia", "county": "Mitchell County", "rate": "6.3" },
  { "id": "13207", "state": "Georgia", "county": "Monroe County", "rate": "4.9" },
  { "id": "13209", "state": "Georgia", "county": "Montgomery County", "rate": "7.1" },
  { "id": "13211", "state": "Georgia", "county": "Morgan County", "rate": "4.7" }
];

// In a Svelte component, you would typically iterate over this data to display it.
// For example:
// 
// <script>
//   import { onMount } from 'svelte';
//   let counties = [];
//   onMount(async () => {
//     // In a real app, you'd fetch this data
//     counties = [
//       { "id": "13109", "state": "Georgia", "county": "Evans County", "rate": "4.8" },
//       // ... more data
//     ];
//   });
// </script>
// 
// <ul>
//   {#each counties as county}
//     <li>{county.county}: {county.rate}</li>
//   {/each}
// </ul>

```

--------------------------------

### Svelte: Setup and Data Generation for Normal Distribution Curve

Source: https://datavisualizationwithsvelte.com/animate-a-bell-curve

This Svelte component sets up the necessary D3 scales, generates data points for a normal distribution curve, and defines a line generator. It imports D3 modules for scaling and shape generation, and Svelte's easing functions. The component is reactive to width changes.

```svelte
<script>
  import { scaleLinear } from 'd3-scale';
  import { line } from 'd3-shape';
  import { cubicInOut } from 'svelte/easing';

  let width = 1000;

  // 1. Data
  const n = 400;
  const xRange = 100;
  const xDomain = [0, 200];

  $: x = scaleLinear()
    .domain(xDomain)
    .range([margin.left, width - margin.right]);

  $: y = scaleLinear()
    .domain([0, 0.15])
    .range([height - margin.bottom, margin.top]);

  let value = {
    m: 8,
    sd: 2.5,
    color: 'red'
  };

  $: dists = [{ m: $value.m, sd: $value.sd, color: $value.color }];

  const normPDF = (m, sd, x) => {
    const numerator = Math.exp(-Math.pow(x - m, 2) / (2 * Math.pow(sd, 2)));
    const denominator = sd * Math.sqrt(2 * Math.PI);
    return numerator / denominator;
  };

  const createDatum = (i, dist) => {
    const xVal = xDomain[0] + (xRange * i) / n;
    const yVal = normPDF(dist.m, dist.sd, xVal);
    return {
      dist: dists[0],
      index: i,
      x: xVal,
      y: yVal
    };
  };

  const data = new Array(n + 1).fill(0);

  $: data.forEach((datum, i) => {
    data[i] = createDatum(i, dists[0]);
  });

  // 2. Dimensions, Margins, Scales
  let height = 250;
  const margin = { top: 40, right: 0, bottom: 0, left: 0 };

  // 3. Functions needed to create the Data elements
  $: lineGenerator = line()
    .x((d) => x(+d.x))
    .y((d) => y(+d.y));

</script>
```

--------------------------------

### Svelte Component with Bar, Line Chart, and Labels

Source: https://datavisualizationwithsvelte.com/basics/dual-axis

This Svelte component extends the previous example by adding a line path generator for profit data and includes a Labels component for axis titles. It utilizes D3.js's line and curveBasis functions to create a smooth line chart.

```svelte
<script>
  import data from '$lib/data/sales_data.json';
  import { scaleBand, scaleLinear } from 'd3-scale';
  import { max } from 'd3-array';
  import { line, curveBasis } from 'd3-shape';
  import AxisBottom from './AxisBottomBandV5.svelte';
  import AxisLeft from './AxisLeftV5.svelte';
  import AxisRight from './AxisRightV5.svelte';
  import Labels from './Labels.svelte';

  // State variables
  let width = $state(400); // width will be set by the clientWidth
  const height = 350;
  const margin = { top: 40, right: 30, bottom: 20, left: 50 };

  // Computed values
  let xScale = $derived(
    data && width
      ? scaleBand()
          .domain(data.map((d) => d.month))
          .range([margin.left, width - margin.right])
          .padding(0.1)
      : null
  );

  let yScale1 = $derived(
    data && width
      ? scaleLinear()
          .domain([0, max(data, (d) => d.sales)])
          .range([height - margin.bottom, margin.top])
      : null
  );

  let yScale2 = $derived(
    data && width
      ? scaleLinear()
          .domain([0, max(data, (d) => d.profit)])
          .range([height - margin.bottom, margin.top])
      : null
  );

  let linePath = $derived(
    xScale && yScale2
      ? line()
          .x((d) => xScale(d.month) + xScale.bandwidth() / 2)
          .y((d) => yScale2(d.profit))
          .curve(curveBasis)
      : null
  );
</script>

<div class="wrapper" bind:clientWidth={width}>
  {#if data && width && xScale && yScale1 && yScale2 && linePath}
    <svg
      width={width + margin.left + margin.right}
      height={height + margin.top + margin.bottom}>
      <AxisBottom
        {width}
        {height}
        {margin}
        {xScale}
        format={(d) => d.slice(0, 3)}
        filterFunc={(d, i) => i % 3 === 0} />
      <AxisLeft {width} {height} {margin} yScale={yScale1} />
      <Labels
        labelfory={true}
        {width}
        {height}
        {margin}
        yoffset={-15}
        xoffset={0}
        label={'$ Sales'}
        fillColor="steelblue" />
      <AxisRight {width} {margin} yScale={yScale2} />
      <Labels
        labelfory={true}
        {width}
        {height}
        {margin}
        yoffset={-15}
        xoffset={width - 28}

```

--------------------------------

### Initialize Three.js Scene, Camera, Lights, and Controls in Svelte

Source: https://datavisualizationwithsvelte.com/maps/svelte-threejs-example

Sets up the core Three.js components including the scene, perspective camera, WebGL renderer, ambient, directional, and point lights. It also configures OrbitControls for interactive camera manipulation and enables shadow mapping for realistic lighting. This function is typically called once when the component mounts.

```javascript
function initializeScene() {
    if (!container) {
      console.error('Container element is not available');
      return;
    }

    // Set up the scene, camera, and renderer
    scene = new THREE.Scene();

    // Create a perspective camera with specific field of view, aspect ratio, and viewing frustum
    camera = new THREE.PerspectiveCamera(25, width / height, 0.1, 1000);
    camera.position.set(10, 8, 12); // Position the camera to frame the model nicely
    scene.background = new THREE.Color(0x090b1f); // Set the background color of the scene

    // Initialize the WebGL renderer
    renderer = new THREE.WebGLRenderer({ antialias: true, alpha: true });
    renderer.setSize(width, height); // Set the renderer's size to match the container dimensions
    container.appendChild(renderer.domElement); // Attach the renderer to the container DOM element

    // Add ambient light to softly illuminate the scene from all directions
    const ambientLight = new THREE.AmbientLight(0xffffff, 0.6);
    scene.add(ambientLight);

    // Add directional light to simulate sunlight
    const directionalLight = new THREE.DirectionalLight(0xffffff, 1);
    directionalLight.position.set(5, 10, 7.5).normalize(); // Position and normalize the light direction
    scene.add(directionalLight);

    // Add a point light for additional illumination
    const pointLight = new THREE.PointLight(0xffffff, 0.8);
    pointLight.position.set(-5, 5, 5); // Position the point light
    scene.add(pointLight);

    // Enable shadow maps in the renderer for realistic lighting and shadows
    renderer.shadowMap.enabled = true;
    renderer.shadowMap.type = THREE.PCFSoftShadowMap; // Use soft shadows
    directionalLight.castShadow = true; // Enable shadow casting for the directional light
    pointLight.castShadow = true; // Enable shadow casting for the point light

    // Set up OrbitControls to allow user interaction with the model (rotation, zoom, pan)
    controls = new OrbitControls(camera, renderer.domElement);
    controls.enableDamping = true; // Enable damping for smoother control experience
    controls.dampingFactor = 0.25; // Set damping factor
    controls.screenSpacePanning = false; // Disable panning in screen space
    controls.minDistance = 0.5; // Set minimum zoom distance
    controls.maxDistance = 10; // Set maximum zoom distance
    controls.update();

    // Load the 3D model if it hasn't been loaded yet
    if (!modelLoaded) {
      loadModel();
    }

    // Start the animation loop
    animate();
  }
```

--------------------------------

### Sample Sales Data in JSON Format

Source: https://datavisualizationwithsvelte.com/basics/dual-axis

A JSON file containing monthly sales and profit data. Each object includes the month, sales amount, and profit amount, suitable for use in data visualization.

```json
[
  {
    "month": "January",
    "sales": 5000,
    "profit": 1200
  },
  {
    "month": "February",
    "sales": 7000,
    "profit": 1500
  }
]
```

--------------------------------

### Beeswarm Component Setup in Svelte

Source: https://datavisualizationwithsvelte.com/beeswarm-chart

The main Beeswarm Svelte component orchestrates the data loading, scaling, and rendering of the beeswarm plot. It uses D3 for scales, a custom AccurateBeeswarm class for positioning, and child components for axes, labels, and circles.

```svelte
<script lang="ts">
  import { onMount, onDestroy } from 'svelte';
  import { csv } from 'd3-fetch';
  import { scaleLinear } from 'd3-scale';
  import Axis from './Basics/AxisBottomV5.svelte';
  import { AccurateBeeswarm } from './AccurateBeeswarm';
  import Circle from './Basics/Circle.svelte';
  import Labels from './Basics/Labels.svelte';

  // State variables
  let countriesData = $state([]);
  let width = $state(0);
  let animate = $state('one-dimensional');
  const height = 350;
  const margin = { top: 40, right: 30, bottom: 20, left: 50 };

  // Toggle between 'beeswarm' and 'one-dimensional'
  const switchCharts = () => {
    animate = animate === 'beeswarm' ? 'one-dimensional' : 'beeswarm';
  };

  // Data loading with onMount
  onMount(async () => {
    try {
      const data = await csv('/data/countries_data.csv');
      countriesData = data.sort((a, b) => a.score_Total - b.score_Total);
    } catch (error) {
      console.error('Error loading CSV file:', error);
    }
  });

  // Computed values
  let xDomainData = $derived(countriesData.map((d) => +d.score_Total));

  let xScale = $derived(
    scaleLinear()
      .domain([Math.min(...xDomainData), Math.max(...xDomainData)])
      .range([margin.left, width - margin.right])
  );

  let yScale = $derived(
    scaleLinear()
      .range([margin.top + height, margin.bottom])
      .domain([0, 2])
  );

  let positionedData = $derived(
    new AccurateBeeswarm(
      countriesData,
      (d) => 10,
      (d) => xScale(d.score_Total),
      1,
      0,
      0
    ).calculateYPositions()
  );

  // Animation timing
  let timeoutId = setTimeout(() => {
    animate = 'beeswarm';
  }, 600);

  onDestroy(() => {
    if (timeoutId) clearTimeout(timeoutId);
  });
</script>

<main bind:clientWidth={width} role="presentation">
  {#if width}
    <div class="relative">
      {#if countriesData.length > 0}
        <svg {width} {height} class="chart">
          <g transform="translate(0,0)">
            <Axis {width} {height} {margin} {xScale} ticksNumber={10} />
          </g>
          <Labels
            labelforx={true}
            fillColor={'#fcd34d'}
            {width}
            {height}
            {margin}
            yoffset={-300}
            xoffset={-20}
            label={'Total AI Score →'} />

          <g transform="translate(0,{height / 2})">
            {#each positionedData as country, i}
              <Circle
                {i}
                {yScale}
                stroke={'red'}
                strokeWidth="2"
                opacity="0.3"
                xValue={country.x.toFixed(1)}
                yValue={country.y.toFixed(1)}
                r={10}
                {animate} />
            {/each}
          </g>
        </svg>
      {/if}
    </div>
    <div class="flex justify-center">
      <button class="variant-filled btn mt-4" onclick={switchCharts}>
        {animate === 'beeswarm' ? 'Show 1D' : 'Show Beeswarm'}
      </button>
    </div>
  {/if}
</main>
```

--------------------------------

### Visualize SVG Gradient with Rect in Svelte

Source: https://datavisualizationwithsvelte.com/basics/line-gradient

Renders an SVG rectangle element and fills it with the defined SVG gradient. This serves as a visual example of how the gradient would appear across the chart's area, independent of the data line itself.

```html
<rect
  opacity="1"
  x={margin.left}
  y="0"
  fill="url(#temperature-gradient)"
  height={height - margin.bottom}
  width={width - margin.left - margin.right}></rect>
```

--------------------------------

### Load GLTF Model with Draco Compression in Three.js

Source: https://datavisualizationwithsvelte.com/maps/svelte-threejs-example

Loads a GLTF 3D model using GLTFLoader and DRACOLoader for compressed models. It sets up the Draco decoder path and attaches the DracoLoader to the GLTFLoader. The loaded model is then added to the scene and scaled. This function handles the asynchronous loading of the 3D asset.

```javascript
function loadModel() {
    // Initialize the Draco loader for handling compressed models
    const dracoLoader = new DRACOLoader();
    dracoLoader.setDecoderPath('https://www.gstatic.com/draco/v1/decoders/'); // Set path for Draco decoder

    // Initialize GLTFLoader and attach the Draco loader
    const loader = new GLTFLoader();
    loader.setDRACOLoader(dracoLoader);

    // URL of the GLB file to load
    const url = 'zion2-transformed.glb';

    // Load the GLTF model
    loader.load(
      url,
      (gltf) => {
        // Add the loaded model to the scene and scale it
        model = gltf.scene;
        model.scale.set(0.005, 0.005, 0.005);
        scene.add(model);

        // Play animations if the model contains any

```

--------------------------------

### Create Bar Chart with D3 Scales and Svelte

Source: https://datavisualizationwithsvelte.com/basics/bar-chart

This Svelte component generates a bar chart using D3's scaleLinear for data mapping. It includes data fetching, dimension and scale setup, and SVG element creation for bars and axes. The component is responsive to clientWidth.

```svelte
<script>
  import { scaleLinear } from 'd3-scale';

  // 1. Basic Setup: Get the data
  // Some random birthrate data
  const points = [
    { year: 1990, birthrate: 6.7 },
    { year: 1995, birthrate: 4.6 },
    { year: 2000, birthrate: 14.4 },
    { year: 2005, birthrate: 18 },
    { year: 2010, birthrate: 7 },
    { year: 2015, birthrate: 12.4 },
    { year: 2020, birthrate: 17 },
    { year: 2025, birthrate: 10.9 },
    { year: 2030, birthrate: 8 },
    { year: 2035, birthrate: 12.9 }
  ];

  // 2. Dimensions, Margins & Scales

  // Data for plotting x-y axis
  const yTicks = [0, 5, 10, 15, 20];
  const padding = { top: 20, right: 15, bottom: 20, left: 25 };

  let width = 500;
  let height = 350;

  $: xScale = scaleLinear()
    .domain([0, points.length])
    .range([padding.left, width - padding.right]);

  let yScale = scaleLinear()
    .domain([0, Math.max.apply(null, yTicks)])
    .range([height - padding.bottom, padding.top]);

  $: innerWidth = width - (padding.left + padding.right);
  $: barWidth = innerWidth / points.length;

  // 3. Functions needed to create the Data elements or Helper functions, e.g d3.line d3.arc when needed

  // Shorten the date axis values for mobile
  function formatMobile(tick) {
    return "'" + tick.toString().slice(-2);
  }

  // 4. Create the main data elements (usually by iteration, using svelte each blocks)
  // We will do this in the html markup
</script>

<div class="chart" bind:clientWidth={width}>
  <svg {width} {height}>
    <!-- 4. Design the bars -->
    <g class="bars">
      {#each points as point, i}
        <rect
          x={xScale(i) + 2}
          y={yScale(point.birthrate)}
          width={barWidth * 0.9}
          height={yScale(0) - yScale(point.birthrate)} />

        <!-- Circle showing the start of each Bar -->
        <circle
          cx={xScale(i) + 2}
          cy={yScale(point.birthrate)}
          fill="white"
          r="5" />
      {/each}
    </g>
    <!-- Design y axis -->
    <g class="axis y-axis">
      {#each yTicks as tick}
        <g class="tick tick-{tick}" transform="translate(0, {yScale(tick)})">
          <line x2="100%" />
          <text y="-4"
            >{tick} {tick === 20 ? ' per 1,000 population' : ''}</text>
        </g>
      {/each}
    </g>

    <!-- Design x axis -->
    <g class="axis x-axis">
      {#each points as point, i}
        <g class="tick" transform="translate({xScale(i)}, {height})">
          <text x={barWidth / 2} y="-4">
            {width > 380 ? point.year : formatMobile(point.year)}</text>
        </g>
      {/each}
    </g>
  </svg>
</div>

<style>
  .x-axis .tick text {
    text-anchor: middle;
    color: white;
  }

  .bars rect {
    fill: #fcd34d;
    stroke: none;
  }

  .tick {
    font-family: Poppins, sans-serif;
    font-size: 0.725em;
    font-weight: 200;
    color: white;
  }

  .tick text {
    fill: white;
    text-anchor: start;
    color: white;
  }

  .tick line {
    stroke: #fcd34d;
    stroke-dasharray: 2;
    opacity: 1;
  }

  .tick.tick-0 line {
    display: inline-block;
    stroke-dasharray: 0;
  }
</style>
```

--------------------------------

### Render Tooltip and Highlight Circle with Svelte 5 Snippets

Source: https://datavisualizationwithsvelte.com/basics/scatter-chart-2

This Svelte 5 code snippet demonstrates how to render a tooltip and a highlighting circle using the `{@render children}` syntax within a Quadtree component. It passes data like coordinates, found data, and visibility to the child snippet for dynamic styling and content display. Dependencies include the Quadtree component and associated scales.

```svelte
<Quadtree {data} {xScale} {yScale} {width} {height} {margin} searchRadius={30}>
  {#snippet children({ x, y, found, visible })}
    <div
      class="circle"
      style="top:{y}px;left:{x.circle}px;display: {visible
        ? 'block'
        : 'none'}; width: {radiusScale(+found.population) * 2 +
        5}px ; height: {radiusScale(+found.population) * 2 + 5}px;" />
    <div
      class="tooltip pointer-events-none bg-gray-50 bg-opacity-90 text-gray-900"
      style="top:{y + 5}px;left:{x.square + 10}px;display: {visible
        ? 'block'
        : 'none'};">
      <h1 class="mb-1 text-base text-gray-900">{found.country}</h1>
      GDP: {Number(found.gdp / 100000000).toFixed(1) + ' Bil. $'}<br />
      Pop.: {Number(+found.population / 1000000).toFixed(1) + ' Mil.'}<br />
      Life Expectancy: {Number(+found.life_expectancy).toFixed(1)}
    </div>
  {/snippet}
</Quadtree>
```

--------------------------------

### Make Svelte Chart Responsive with bind:clientWidth

Source: https://datavisualizationwithsvelte.com/visualizations/area-chart

Integrates Svelte's `bind:clientWidth` directive to make the chart container responsive. The `width` variable is automatically updated when the container's clientWidth changes, allowing the chart to adapt its layout accordingly.

```html
<div class="relative min-w-full max-w-md rounded-xl p-6" bind:clientWidth={width}>
```

--------------------------------

### Iterate and Render SVG Rectangles in Svelte

Source: https://datavisualizationwithsvelte.com/basics/basic-shapes

This code snippet demonstrates iterating over a reactive data array in Svelte to render SVG rectangle elements. Similar to the circle example, it uses Svelte 5's `$state()` rune for reactivity and a `setTimeout` function to update data, with CSS transitions applied for animated changes.

```svelte
<script>
  // data which will be updated
  let data = $state([
    { x: 10, y: 10, width: 5, height: 40 },
    { x: 10, y: 60, width: 5, height: 40 },
    { x: 10, y: 110, width: 5, height: 40 },
    { x: 10, y: 160, width: 5, height: 40 },
    { x: 10, y: 210, width: 5, height: 40 }
  ]);

  setTimeout(() => {
    data = [
      { x: 10, y: 10, width: 450, height: 40 },
      { x: 10, y: 60, width: 320, height: 40 },
      { x: 10, y: 110, width: 160, height: 40 },
      { x: 10, y: 160, width: 80, height: 40 },
      { x: 10, y: 210, width: 10, height: 40 }
    ];
  }, 4000);
</script>

<div>
  <svg viewBox="0 0 600 300">
    {#each data as d}
      <rect x={d.x} y={d.y} width={d.width} height={d.height} fill="white" />
    {/each}
  </svg>
</div>

<style>
  rect {
    transition: all 1s ease;
  }
</style>
```