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Loading and parsing csv with d3

This example demonstrates the size, row count, and column count of a CSV file fetched from a remote URL, displaying the metrics in a large HTML `<pre>` element. It uses the D3 v5 `d3.csv` API to load and parse the data, then `d3.csvFormat` to measure the formatted string size in kilobytes. The data source is a GitHub gist containing CSS named colors, and the asynchronous flow relies on a modern JavaScript `fetch` pattern.

Loading and parsing csv with d3

Loading and parsing csv with d3

Loading and parsing csv with d3

This example demonstrates the basic structure of an HTML page as a starting point for loading and parsing CSV data with D3. It shows a minimal, empty document with a title and a body, ready to receive JavaScript code. The visualization relies on the HTML file itself and does not yet include any D3 functions, data loading, or parsing. The code uses a standard HTML `<!DOCTYPE html>` declaration and a head section to define the page title, but no external libraries or data sources are present.

Loading and parsing csv with d3

This example demonstrates the basic structure of an HTML page as a starting point for loading and parsing CSV data with D3. It shows a minimal, empty document with a title and a body, ready to receive JavaScript code. The visualization relies on the HTML file itself and does not yet include any D3 functions, data loading, or parsing. The code uses a standard HTML `<!DOCTYPE html>` declaration and a head section to define the page title, but no external libraries or data sources are present.

Loading and Parsing data with d3

This example shows a static yellow smiley face drawn on a 960 by 500 SVG canvas, with two black-outlined eyes and a large circular head. The rendering uses raw SVG elements—`<circle>` tags for the face and eyes—positioned by explicit `cx` and `cy` coordinates. The code loads React via a CDN script tag and initializes it in a JavaScript file, but it does not use any d3 APIs; instead, it demonstrates a minimal HTML page with inline styles and basic SVG markup. The example is a simple part-one exercise in constructing shapes manually.

Loading and Parsing data with d3

This example shows a static yellow smiley face drawn on a 960 by 500 SVG canvas, with two black-outlined eyes and a large circular head. The rendering uses raw SVG elements—`<circle>` tags for the face and eyes—positioned by explicit `cx` and `cy` coordinates. The code loads React via a CDN script tag and initializes it in a JavaScript file, but it does not use any d3 APIs; instead, it demonstrates a minimal HTML page with inline styles and basic SVG markup. The example is a simple part-one exercise in constructing shapes manually.

Mouse follower

A violet circle follows the mouse cursor across an SVG canvas, with its position updating in real time based on pointer movement. The example demonstrates React state management and event handling for interactive graphics, using the `useState` and `useCallback` hooks to store and update mouse coordinates. The circle is rendered via React's JSX within an SVG element, with the `onMouseMove` handler triggering state changes that reposition the circle. All rendering occurs client-side through ReactDOM's mounting process.

Loading and Parsing Csv data

This example demonstrates how to load and parse CSV data using D3.js. The page fetches a remote CSV file and processes it with `d3.csv`, converting raw rows into JavaScript objects. The visualization then renders the parsed data, though the specific chart type is minimal due to the bare HTML structure. It highlights the fundamental workflow of data loading and transformation in D3, serving as a building block for more complex visualizations. The code relies on D3’s asynchronous data-fetching methods and shows the parsed output in the browser console.

Loading and Parsing Csv data

This example demonstrates how to load and parse CSV data using D3.js. The page fetches a remote CSV file and processes it with `d3.csv`, converting raw rows into JavaScript objects. The visualization then renders the parsed data, though the specific chart type is minimal due to the bare HTML structure. It highlights the fundamental workflow of data loading and transformation in D3, serving as a building block for more complex visualizations. The code relies on D3’s asynchronous data-fetching methods and shows the parsed output in the browser console.

Fork of Hello HTML

This example demonstrates the absolute minimum structure required for an HTML document: a page with a title and an empty body. The code consists solely of the standard `<!DOCTYPE html>` declaration and `<html>`, `<head>`, and `<body>` elements. It uses no external libraries, JavaScript, or data sources, serving purely as a static, valid foundational template. The visualization aspect is the raw HTML source itself, which renders as a blank page in a browser.

Frowned face

Frowned face

This example renders a simple cartoon face using React and SVG. It shows a yellow circle for the head, two black circles for eyes, and a curved path for a frowning mouth, all centered on the canvas. The face is constructed programmatically with D3's `arc()` API to generate the mouth arc, while the head and eyes are drawn using standard SVG `<circle>` elements. The code uses React to define the SVG structure and D3 v7 for the arc geometry, with the entire composition transformed to the center of the 960×500 viewport.

Fork of Hello HTML

This example shows a simple smiley face built entirely with React and SVG, where each facial feature is a separate SVG element positioned around a central point. The face is rendered using React’s declarative JSX syntax, with D3’s `arc` generator creating the mouth as a thick, open path. Circles are used for the head and eyes, while the mouth is drawn with `d3.arc`. The code imports the `arc` function from the D3 v7 library and uses React 16.9 to manage the component tree, all rendered into an SVG canvas with fixed dimensions.

Fork of Hello HTML