Welcome to HTML

Welcome to HTML

This example uses D3.js (v7) to display the metadata of a population dataset. It loads the CSV file from a GitHub gist and computes its size, row count, and column count, presenting these details as text in the browser. The code relies on the `d3.csv` and `d3.csvFormat` APIs to fetch and analyze the data. All information appears on an HTML page styled by an external CSS file.

NNeeharikaGali

88% match

Welcome to HTML

This example demonstrates how to fetch and summarize CSV data using D3 version 7. It loads a remote customer dataset with `d3.csv`, then displays the file size in kilobytes, row count, and column count as plain text in a preformatted HTML element. The page also includes a separate script that uses `select` from D3 to replace the body content with a simple greeting. The visualization shows basic data-loading and metadata-reporting techniques rather than graphical rendering.

79% match

Welcome to HTML

This example displays metadata about a movie review dataset, showing the file size, row count, and column count in a styled text container. The page loads a CSV file from a GitHub gist using `d3.csv`, then calculates the file size with `d3.csvFormat` and presents the information in a `<pre>` element. The visualization uses a custom background image via CSS, with text styled through `myStyles.css`, and includes D3 v7 imported from a CDN. The data source is a customer dataset fetched from an external URL.

79% match

Welcome to HTML

This example displays a webpage titled "This page displays customers" with a centered heading and a message area that summarizes a customer dataset. It fetches the data from a CSV file hosted as a GitHub gist using the `d3.csv` method, then reports the dataset's size in kilobytes, row count, and column count via `d3.csvFormat` and the `data.columns.length` property. The page uses a customer SVG as a background image via CSS, while the JavaScript dynamically writes the metadata into the `<pre>` element.

78% match

ICE-5 Shapes

This example presents metadata about a world population dataset within a visually styled HTML page. It displays the file size in kilobytes, row count, and column count in a `<pre>` element, calculated using `d3.csv` and `d3.csvFormat`. The page is styled with a purple background and an embedded SVG illustration, while a link directs users to the raw dataset. The code uses D3 v7 to fetch the CSV from a GitHub gist and dynamically update the text content.

SSharmaAshwini

Untitled

This example displays metadata about a motor vehicle sales dataset, including its size in kilobytes, row count, and column count. The data is loaded from a CSV file using D3 v7’s `csv` method, and the summary text is rendered inside an HTML `<pre>` element. The page uses CSS background images from external SVG URLs for visual styling, with JavaScript calculating the dataset’s size via `csvFormat().length`.

Vvineeth-001

Welcome to HTML

This example presents a minimal HTML page that displays dataset metadata for a movie review collection. The page shows a calculated summary of the CSV data, including its size in kilobytes (rounded to the nearest whole number), the number of rows, and the number of columns. The code loads data from a remote CSV file using D3 v7’s `d3.csv` method, then formats the message with `d3.csvFormat` before injecting it into a `<pre>` element. Styling is handled through a linked external CSS file, while the page structure uses standard HTML elements.

Data Visualization

This example presents a simple HTML page that displays a greeting message and loads a remote CSV dataset using D3 version 7. It prints statistics about the data, including its size in kilobytes, row count, and column count, by utilizing `d3.csv` and `d3.csvFormat`. The page also includes an SVG image showing a black ellipse and a filled polygon. The D3 library is loaded via a CDN, and the visualization is rendered through standard HTML and SVG elements.

Hharika-1929