Skip to main content
SimilarExport ZIP
100%

Fork of D3 Starter

✓ Published1🌍 Public
Aaddalalikitha15@gmail.com
Last edited Feb 25, 2026
Created on Feb 25, 2026
Forked from D3 Starter

This example displays a concise summary of a bird migration CSV dataset, showing file size, row count, and column count. A simple SVG path with a circle marker visually represents a migration route. The page loads data from a GitHub gist using `fetch` and parses it with `d3.csvParse`, while `d3.v7` is loaded via CDN. Styling relies on plain HTML and CSS, with no interactive elements beyond the static display.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of D3 Starter

This visualization presents a summary of a bird migration dataset. It displays key statistics about a CSV file, including its size in kilobytes, total number of rows, and column count. The page fetches the data from a remote gist URL and uses `d3.csvParse` to process the CSV content, then updates the HTML with the computed metrics. A decorative SVG illustrates a migration path with a Bezier curve. The interface provides a clear, concise overview of the dataset's structure for initial data exploration.

Aaddalalikitha15@gmail.com
93% match
Loading thumbnail…

Fork of React & D3 Starter

This example loads a bird migration CSV from a GitHub Gist, parses it with D3’s `csvParse`, and displays file size, row count, and column count in a React card. It also renders a decorative SVG icon of a migration route and bird, styled dynamically via D3’s `select` to set fills and strokes. The interface shows loading and error states alongside the data summary, with the raw CSV URL listed as the source.

Hharshithamiriyam19@gmail.com
87% match
Loading thumbnail…

Fork of D3 Starter

This example demonstrates the data-loading process for a garden dataset, displaying summary statistics including file size in kilobytes, row count, and column count within a styled summary box. The visualization uses D3 v7’s `d3.csv` method to parse a CSV file fetched from a GitHub Gist, routed through a proxy URL to bypass CORS restrictions. A static SVG circle provides decorative context, while the script dynamically updates the DOM via `d3.select` and `textEl.html`. Error handling displays failure messages if the fetch or parsing encounters issues, and the console logs the first five rows for verification.

Ssaiabhishekmunnangi@gmail.com
86% match
Loading thumbnail…

Fork of D3 Starter

A minimal starter template demonstrates loading a CSV dataset with D3 version 6. The page displays an empty SVG element and uses the `d3.csv` method to asynchronously fetch population figures for ten countries, logging the parsed array to the browser console. The body text is styled at an oversized 13em, though no visual marks or axes are drawn. The example relies solely on the core `select` and `csv` functions from the D3 library, with a separate `bundle.js` file containing the imported JavaScript logic.

Aamericosan86
83% match
Loading thumbnail…

Fork of HTML Starter

This example presents a summary of a CSV dataset loaded from a remote GitHub Gist. It displays the file size in kilobytes, the total row count, and the number of columns in a styled box on the page. The visualization uses D3 version 7's `d3.csvParse` method to parse the fetched text, then logs the same metrics to the browser console. A simple static SVG circle is included as a placeholder, while the primary output is text-based rather than a chart.

445.saiful@gmail.com
82% match
Loading thumbnail…

Fork of D3 Starter-likitha

This pie chart visualizes the regional distribution of bird migration records from a sample CSV dataset. The chart uses D3.js v7 to load the data via `d3.csv`, aggregate counts per region, and render SVG arcs with `d3.pie()` and `d3.arc()`. Labels are placed at arc centroids, and a color legend assists interpretation. The visualization employs `d3.scaleOrdinal` with `schemeCategory10` for distinct regional colors.

Aaddalalikitha15@gmail.com
82% match
Loading thumbnail…

Fork of Fork of D3 Starter

This example summarizes a vehicle intrusion dataset by displaying key statistics—file size, row count, and column count—alongside a preview table of the first eight records. The visualization uses D3.js version 7 to fetch and parse the CSV data via `d3.csvParse`, while static SVG shapes (a rectangle, circle, and line) are rendered with CSS-styled fills. The page presents these elements within a card-based layout, providing a straightforward overview of the dataset's structure and scale.

SSanjayRamaSwamyAdla@my.unt.edu
82% match
Loading thumbnail…

Fork of D3 Starter-likitha

This line chart visualizes the relationship between temperature and bird migration distance, showing a smoothed monotone curve of average migration distance against temperature. The code loads a sample CSV of bird migration data, aggregates values by temperature using `d3.rollups`, and renders the result with D3 v7’s `d3.line()` and `curveMonotoneX`. The SVG chart includes labeled axes with `d3.axisBottom` and `d3.axisLeft`, plus a title and axis captions, all styled with steelblue strokes against a minimal white background.

Aaddalalikitha15@gmail.com
82% match