Fork of HTML Starter

100%

Fork of HTML Starter

✓ Published0🌍 Public

Last edited Mar 6, 2024

Created on Mar 6, 2024

This example demonstrates the loading and parsing of a CSV data file, displaying its file size, row count, and column count on a web page. It also embeds two static SVG images for visual context. The implementation uses the Fetch API to retrieve the remote CSV, then processes the response as a Blob and text to extract dimensions. The page styling relies on plain CSS, while the dynamic content is inserted into the DOM via `document.getElementById` and `innerText`. No external visualization libraries are used; the focus is on basic data inspection and layout.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Fork of HTML Starter

This example demonstrates loading a remote CSV dataset and displaying basic information about it in the browser. It uses D3 v7’s `d3.csv` to fetch and parse the data, then computes the file size in kilobytes, row count, and column count. The result is written to a `<pre>` element via the DOM API, while a separate SVG chart is embedded as an image. The page also includes static HTML and CSS for layout, with the SVG rendered from the `shape.svg` file.

Rranjithkmr598@gmail.com

88% match

Loading thumbnail…

Fork of HTML Starter

This example fetches a CSV file of CSS color names and displays its size, row count, and column count in a large HTML text block. The page combines static markup with D3 v7’s `csvParse` to transform the fetched text into a structured dataset. It uses the Fetch API to load the remote file, then writes the computed statistics into a `<pre>` element via `textContent`. A separate styled div shows a static “Hello HTML!” message, demonstrating basic CSS and JavaScript integration in a minimal HTML starter.

Ffutureofworld

86% 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

86% match

Loading thumbnail…

Fork of Fork of HTML Starter

This example loads a small CSV dataset of color names from a remote URL and prints a summary of its size, row count, and column count into a preformatted text block. It uses d3.csv to fetch and parse the data, and d3.csvFormat to calculate the approximate file size. Below that, the page displays four static SVG circles, each filled with a hex color from the dataset and labeled with its color name. The page is a minimal React-free HTML document that combines D3 v7 with inline SVG rendering.

Nneeharika2023@gmail.com

86% 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

86% 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

86% match

Loading thumbnail…

Fork of HTML Starter

This example demonstrates how to load and parse CSV data in a minimal HTML page using D3. It sets up an asynchronous `fetchText` function to retrieve a CSV file from a URL, then applies `d3.csvParse` to convert the raw text into an array of objects. The parsed data is logged to the browser console, where it can be inspected by the viewer. The code relies on the Fetch API and D3 v6, integrated via a script tag from unpkg, with no additional visualization or rendering logic included.

Hhukbk

86% match

Loading thumbnail…

Fork of Fork of Loading and Parsing CSV Data

This example displays a parsed CSV file's details—file size, row count, and column count—alongside a static SVG line chart of dark gray curves on a maroon background. The React application fetches the CSV using the `fetch` API, parses the text by splitting on newlines and commas, and presents the metadata in styled HTML. The SVG visualization is embedded as an image, while the page's layout and typography are defined in a separate CSS file.

TTarun Kumar Bosupally

85% match