Fork of HTML Starter

100%

Fork of HTML Starter

✓ Published0🌍 Public

Last edited Aug 5, 2025

Created on Aug 5, 2025

This example demonstrates how to load and parse CSV data from a remote URL, displaying basic file statistics in plain text. The code fetches a gist-hosted dataset of CSS named colors using the Fetch API, then parses it with d3.csvParse. It reports the file size in kilobytes, the number of columns, and the number of rows in a pre element. The visualization relies on D3 v7 and shows the data summary without any graphical chart.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of HTML Starter

This example displays basic metadata about a CSV file, showing the file size, row count, and column count as plain text on a web page. It fetches the data from a remote GitHub Gist containing CSS named colors using `d3.csv`, then computes the formatted size with `d3.csvFormat` and reads row and column counts from the resulting array. The code uses D3 v6, with `d3.csv().then()` for asynchronous loading, and writes the summary into a preformatted element via `document.getElementById().textContent`.

AAmir

92% match

Loading thumbnail…

Fork of Hello HTML

This example demonstrates loading and parsing CSV data, displaying basic file statistics in a plain-text format. It fetches a remote CSV file containing CSS named colors and reports the data's size in kilobytes, the number of rows, and the number of columns. The program uses D3's `d3.csv` function to retrieve and parse the remote CSV file, alongside `d3.csvFormat` to calculate the data's length. The resulting output is rendered into an HTML `<pre>` element via JavaScript.

Jjames.haarbauer@dunya-analytics.com

92% match

Loading thumbnail…

Fork of HTML Starter

This example demonstrates how to fetch and parse a CSV file from a remote URL, then display basic metadata about the dataset, including its size in kilobytes, row count, and column count. The visualization uses the `fetch` API to retrieve the text, `d3.csvParse` to parse the comma-separated values, and the CSS-styled `#message-container` element to render the resulting statistics. The data source is a GitHub gist containing CSS named colors, loaded asynchronously and processed without any interactive visualization.

MMaurice Huang

91% match

Loading thumbnail…

Fork of HTML Starter

This example displays a summary of a CSV file containing CSS named colors. It fetches the data from a remote gist URL, then computes and presents the file size in kilobytes, the row count, and the column count within an HTML `<pre>` element. The code uses the D3.js version 6 library, specifically the `d3.csv` and `d3.csvFormat` functions, to handle data loading and formatting. The visualization is a simple text-based report of the dataset's structure, rendered on a plain HTML page.

Vvram80

91% match

Loading thumbnail…

Fork of HTML Starter

This example demonstrates how to use D3.js v7 to fetch and parse a CSV file from a GitHub Gist, then display summary statistics about the data. The page shows the file size in kilobytes, the number of rows, and the number of columns using D3’s `d3.csvParse` and the Fetch API. A large `<pre>` element with CSS styling presents the output text. The code uses `fetchText` to retrieve the remote CSV, illustrating a minimal client-side data-loading workflow.

EErico103

90% match

Loading thumbnail…

Fork of HTML Starter

This example showcases a minimal HTML page that fetches and summarizes a CSV dataset of CSS named colors. It reports the data's size in kilobytes, the number of rows, and the number of columns directly on the page. The visualization relies on the D3.js library, using its `d3.csv` function to load remote data and `d3.csvFormat` to calculate the file size. The output is rendered as plain text within a `<pre>` element, with styling applied through CSS.

BbeauMarko

90% match

Loading thumbnail…

Fork of Fork of Fork of HTML Starter

This example demonstrates how to load and parse CSV data with D3.js, fetching a remote file using the Fetch API and `d3.csvParse`. It displays a live summary of the dataset, showing file size in kilobytes, row count, and column count on the page. The visualization includes a static SVG badge with an orange circle and text, while the page structure uses styled HTML panels. The code relies on D3 v7’s CSV parsing utilities and the browser’s native `fetch` method to retrieve the raw text from a GitHub Gist URL.

Ssravya7136@gmail.com

90% match

Loading thumbnail…

Fork of HTML Starter

This example demonstrates a minimal HTML page that loads a CSV dataset of CSS named colors using D3.js. The page displays “Hello HTML” in large text while the CSV data is fetched asynchronously from a GitHub gist. It logs the total number of data rows to the browser console. The code uses `d3.csv()` to parse the remote CSV file, showing a basic data-loading pattern with a Promise-based callback.

Vvvs1680

90% match