Skip to main content
SimilarExport ZIP
100%

Fork of HTML Starter

✓ Published1🌍 Public
Ppriyankachary1701@gmail.com
Last edited Oct 5, 2025
Created on Oct 5, 2025
Forked from HTML Starter

This example loads a user-supplied raw CSV file and presents a data summary alongside a preview table of the first ten rows. The D3 v7 code uses `d3.csvParse` with `d3.autoType` to parse the data, then computes column-level statistics such as minimum, maximum, mean, and unique value counts. A static SVG picture demonstrates five basic shapes—rectangle, circle, polygon, line, and text—styled via external CSS. The interface includes a text input and button for fetching new data URLs, with results rendered into the summary and table containers.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of HTML Starter

This example demonstrates loading and parsing a CSV dataset using D3 v7, displaying summary statistics about the data in a styled HTML page. It shows how to fetch external data with `d3.csv` and present metadata such as file size, row count, and column count in a `<pre>` element. The visualization also embeds an SVG illustration of a simple house, rendered with basic shapes like rectangles and a polygon. The code uses D3's promise-based loading API and dynamically updates the DOM via `textContent`, while the accompanying CSS styles the header and metadata block.

Kktvgs25@gmail.com
89% match
Loading thumbnail…

Fork of HTML Starter

This example demonstrates the end-to-end process of loading a remote CSV dataset and generating a data-driven SVG visualization. The page presents key statistics, a preview table of the first five rows, and a custom SVG plot where each mark represents one CSV row, with shape and color mapped to the category column and position determined by row index and value. The implementation uses D3.js v7 to fetch and parse the data with `d3.csv` and `d3.autoType`, then dynamically builds the table and SVG elements using JavaScript DOM manipulation and the SVG API.

Ssakethpapareddy@gmail.com
89% match
Loading thumbnail…

Fork of HTML Starter

This example displays a library book dataset summary and a static SVG illustration. It fetches CSV data from a user-provided URL and uses D3.js version 7 to parse and analyze the columns, categorizing them as numeric or categorical and computing statistics like min, max, and mean. The summary section lists row and column counts, while a separate SVG image shows five basic shapes (rectangle, circle, polygon, line, and text), utilizing D3's `d3.csvParse` and aggregation functions.

Ppriyankachary1701@gmail.com
89% match
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 Fork of Fork of HTML Starter

This example demonstrates how to load a CSV file with D3 and display its contents in an interactive, styled HTML table. It reads remote CSV data using `d3.csv`, calculates approximate file size, row count, and column count, then renders a preview of the first five rows. The table features sticky headers, zebra striping, hover highlights, and right-aligned numeric columns, all styled via CSS. The code uses D3's selection and data-join methods (`selectAll`, `data`, `join`) to build the table structure dynamically.

Ddiwashhumagain@my.unt.edu
88% match
Loading thumbnail…

Fork of Fork of HTML Starter

This example demonstrates how to load and parse CSV data using D3, displaying a summary of the dataset’s size and a preview table of its first rows. The code fetches CSS color information from a remote CSV file using `d3.csv`, then renders the table with D3’s `select`, `append`, and `join` APIs. Styled with custom CSS, the table features sticky headers, zebra striping, and hover effects, offering a clear, interactive view of the data’s structure.

Wwanghaili628@gmail.com
88% match
Loading thumbnail…

Fork of HTML Starter

This example summarizes a CSV file fetched from a GitHub gist, displaying its file size, row and column counts, and a full table of its contents. It also renders two static SVG illustrations: a fish and a house, which are drawn using inline SVG path, circle, polygon, and rect elements. The code uses D3 v7’s `csvParse` and `fetch` API to load and parse the data, then injects the summary and table directly into the HTML via `innerHTML`. Styling is handled by external CSS.

Mmadalahyndavi123@gmail.com
87% 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
87% match