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SSravaniPosina
Last edited Feb 28, 2023
Created on Feb 28, 2023
Forked from ICE5

This page displays metadata about a credit card customer dataset, including its size in kilobytes, row count, and column count. It uses D3 v7 to fetch a CSV file from a GitHub gist and parse it with `d3.csv`. The resulting information is formatted using `d3.csvFormat` and written to the page’s DOM via `textContent`. A CSS background image of a credit card and hyperlink to the source dataset are also included.

AI-generated description

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

See also React Starter.

MIT Licensed

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This page displays metadata about a credit card customer dataset, showing the file size in kilobytes, the number of rows, and the number of columns in a large, bold preformatted text block. It loads the dataset from a CSV URL using D3 v7’s `d3.csv` method, then formats the data with `d3.csvFormat` to calculate the byte length. The page uses a credit card SVG as a background image via CSS and includes hyperlinks to view the dataset and related documentation.

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This example displays metadata about a credit card customer dataset, including its size in kilobytes, row count, and column count. The page shows a title, a link to the underlying CSV file, and the computed statistics in a large, bold text block. It uses D3 v7’s `d3.csv` and `d3.csvFormat` to fetch the data from a GitHub Gist and calculate the size, while a custom CSS background image of a credit card is applied. The result is presented as raw text, not a visual chart.

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This example displays metadata about a credit card customer dataset, including file size, row count, and column count, presented as text on a page with a credit card background image. The code loads the CSV data from a GitHub gist using `d3.csv`, then computes the formatted size with `d3.csvFormat` and counts rows and columns. It dynamically updates a `<pre>` element by setting its text content via the DOM API. The page uses D3 v7, CSS styling, and a linked dataset source, with no interactive charts or additional visual encodings.

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This page presents a summary of credit card customer data, displaying the dataset’s metadata—its size in kilobytes, row count, and column count—in a large, bold text block. It uses a credit card SVG as a background image and relies on D3.js (v7) to load the CSV data with `d3.csv()` and format it with `d3.csvFormat()`. The visualization’s output is minimal, showing the information via a text message in a centered container.

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This example displays metadata about a credit card customer dataset, showing the file size in kilobytes, the number of rows, and the number of columns in a preformatted text block. The visualization fetches a remote CSV file using the `d3.csv` API, then calculates and formats the metadata with `Math.round` and `d3.csvFormat`. The page is styled with CSS, including a credit card SVG background image, and uses D3.js v7 within a basic HTML structure. The dataset is linked for reference, and the computed information is presented as plain text in a centered `<pre>` element.

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