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KarenNg

@karenwuke·12 public vizzes

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Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5, displaying file size, row count, and column count in a large pre-formatted text element. The code uses `d3.csv()` to fetch and parse the dataset from a GitHub-hosted CSV file containing NYC social media usage data, then formats the statistics with `d3.csvFormat()` to calculate kilobyte size. An alternative commented-out approach uses the Fetch API with `async`/`await` and `d3.csvParse()` for manual parsing. The example concisely shows the core workflow of retrieving and inspecting tabular data in a browser environment.

Sep 5, 2019
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Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5. It displays the file size, row count, and column count of a wildlife trade dataset pulled from a GitHub gist. The primary approach uses `d3.csv`, which fetches and parses the CSV in one step, while commented-out alternatives show `fetch` with `async`/`await` combined with `d3.csvParse`. The results appear as large text in a `pre` element, providing a simple, immediate visual summary of the dataset’s basic dimensions.

Sep 5, 2019
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Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5, displaying file size, row count, and column count in a large pre-formatted text element. The code uses `d3.csv()` to fetch and parse the dataset from a GitHub-hosted CSV file containing NYC social media usage data, then formats the statistics with `d3.csvFormat()` to calculate kilobyte size. An alternative commented-out approach uses the Fetch API with `async`/`await` and `d3.csvParse()` for manual parsing. The example concisely shows the core workflow of retrieving and inspecting tabular data in a browser environment.

Sep 5, 2019
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Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL using D3 v5 and the Fetch API. It displays the file size in kilobytes, row count, and column count of the CSS named colors dataset in large text. The primary implementation uses `d3.csv` with a promise, while commented-out alternatives show `fetch` with `async`/`await` and a nested callback approach. The code visually emphasizes the simplicity of modern asynchronous data loading compared to older patterns.

Sep 5, 2019
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Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3.js version 5. It fetches a wildlife trade dataset from a GitHub gist and displays the file size in kilobytes, the number of rows, and the number of columns in a large text block. The code uses d3.csv to fetch and parse the data, then accesses the resulting array and its columns property. An alternative approach using the Fetch API with async/await and d3.csvParse is also included as commented-out code.

Sep 5, 2019
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Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5. It displays the file size, row count, and column count of a wildlife trade dataset pulled from a GitHub gist. The primary approach uses `d3.csv`, which fetches and parses the CSV in one step, while commented-out alternatives show `fetch` with `async`/`await` combined with `d3.csvParse`. The results appear as large text in a `pre` element, providing a simple, immediate visual summary of the dataset’s basic dimensions.

Sep 5, 2019
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Smiley Face Part II

This interactive visualization builds a smiley face using React and D3.js, rendering the facial features as SVG paths and shapes. The code constructs the face from a yellow circle for the head, and uses D3 arc generators to create the mouth, eyes, and hair strands, while diamond symbols from the d3-shape library form the pupils. React manages the component structure, and the SVG elements are positioned using D3’s arc and symbol APIs, resulting in a stylized, programmatically drawn face with defined stroke and fill attributes.

Aug 28, 2019
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Smiley Face Part II

A smiley face rendered as an SVG using React and D3, with a yellow circle head, black outline, and two circular eyes. The mouth is drawn with a D3 arc generator, and the eyes are replaced by diamond-shaped symbols created with the `symbol` and `symbolDiamond` APIs. The component positions elements relative to a center point, using fixed offsets for the eyes and a predefined arc for the mouth. The rendering relies on React’s declarative JSX for SVG structure and D3 v5 for path and shape generation.

Aug 28, 2019
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Smiley Face Part II

This example shows a static yellow smiley face with two black eyes and a curved mouth, rendered as an SVG graphic. The face is built by drawing a large yellow circle with a black stroke, two smaller circles for the eyes, and an arc for the smile, all positioned within a 960×500 viewport. The code combines React for the user interface component structure and D3 v5 for SVG element creation, using basic circle and path SVG primitives. The project loads React 16.9, ReactDOM, and D3 5.11 via CDN, with the face geometry defined manually in JavaScript rather than derived from data.

Aug 28, 2019
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Smiley Face Part II

This example renders a simple smiley face as an SVG graphic using React and D3.js v5. The face consists of a yellow circle for the head, two black circles for the eyes, and a D3 arc path for the mouth, all positioned within a 960×500 viewport. It uses D3's `arc` function to generate the mouth's curved shape, while React constructs the SVG elements declaratively. The code also includes two vertical blue lines that frame the face, suggesting a decorative or experimental composition.

Aug 28, 2019
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Smiley Face Part II

A smiley face rendered as an SVG using React components for circles and a D3 arc path. The face is centered with a yellow circular head, two black eye circles, and a mouth created via `d3.arc()` with specified inner/outer radii and start/end angles. React manages the SVG structure, while D3 provides the arc generator for the mouth’s path data, demonstrating a hybrid approach where React handles layout and D3 handles geometric computation.

Aug 28, 2019
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Hello HTML

This example demonstrates the most basic structure of an HTML web page. It displays a single top-level heading with the text "ss" in the browser window. The page uses no external libraries or JavaScript, relying solely on standard HTML elements. The rendering approach is a bare minimum document consisting of a `<head>` for metadata and a `<body>` containing the visible heading, making it a starting point for web-based visualizations.

Aug 28, 2019