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Ssivamani
Last edited Feb 28, 2023
Created on Feb 28, 2023
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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.

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 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 example displays metadata about a credit card customer dataset, showing the file size in kilobytes, row count, and column count from a CSV file. The page uses a credit card background image and presents the information in a centered, bold text block. It loads remote data with the D3.js v7 `d3.csv` method and formats the response using `d3.csvFormat` to calculate the data size. The visualization is a minimal HTML page styled with CSS and includes a link to view the raw dataset.

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This example displays metadata about a credit card customer dataset, showing the file size in kilobytes, row count, and column count from a CSV file. The page uses a credit card background image and presents the information in a centered, bold text block. It loads remote data with the D3.js v7 `d3.csv` method and formats the response using `d3.csvFormat` to calculate the data size. The visualization is a minimal HTML page styled with CSS and includes a link to view the raw dataset.

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This example displays metadata about a credit card customer dataset, showing the file size in kilobytes, row count, and column count as text on a webpage. It loads a CSV file from a GitHub gist using D3 v7’s `d3.csv` method, then formats the data with `d3.csvFormat` to calculate the size. The resulting message is inserted into a `<pre>` element via the DOM API `textContent`. The page includes a link to the dataset and uses minimal CSS for styling, with JavaScript handling all data processing and display.

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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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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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