pengw6

@pengw6·3 public vizzes

Mouse Follower and Data with React & D3

This visualization demonstrates how to integrate D3.js within a React application. A large circle follows the mouse cursor across the screen, while a `pre` element displays summary statistics about a dataset loaded from a CSV file containing CSS named colors. The code uses React's `useState` and `useEffect` hooks to manage state and fetch the data via `d3.csv`. The `message.js` module calculates the file size in kilobytes, row count, and column count using `d3.csvFormat` and displays these metrics alongside the interactive mouse follower.

Aug 30, 2022

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Loading and Parsing CSV Data

A visualization demonstrates loading and parsing a CSV file containing CSS Named Colors, displaying key metrics about the dataset as large numeric values. The program fetches the remote CSV data using `d3.csv`, then presents the file size in kilobytes, row count, and column count within a styled `<pre>` element. It also includes commented-out alternatives using the `fetch` API with async/await and `d3.csvParse` for text parsing. The example highlights different JavaScript approaches to handling asynchronous data loading and parsing.

Aug 30, 2022

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Smile face HTML

A smiling face is rendered as a scalable SVG graphic composed of a yellow circle, two black eye circles, and a mouth drawn as a D3 arc path. The React components `BackgroundCircle`, `Eyes`, `Mouth`, and `FaceContainer` compose the static visualization, with `Face` coordinating the layout and dimensions. The code uses `d3.arc()` for the mouth, and React 18 with D3 v7 mounts the `Face` component via `ReactDOM.render`. All elements are centered using an SVG `<g>` transform.

Aug 26, 2022