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YYarreddu
Last edited Mar 3, 2023
Created on Mar 3, 2023
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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.

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, 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, 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 visualization presents metadata about a credit card customer dataset, fetched from an external CSV file. It displays the dataset’s size in kilobytes, row count, and column count as plain text in a large, bold, centered `<pre>` element. The page shows a credit card SVG as a background image and includes a hyperlink to view the raw data. The code uses the D3.js `d3.csv` function to parse the remote CSV and `d3.csvFormat` to calculate its size, reporting the results without any graphical charts or interactive elements.

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This visualization displays metadata about a credit card customer dataset, reporting the file size, row count, and column count as text on the page. It loads the data from a CSV file hosted on GitHub using `d3.csv`, then formats the raw data with `d3.csvFormat` to calculate its size in kilobytes. The page is built with HTML, CSS, and D3.js v7, and presents the information in a simple `<pre>` element via the DOM API `textContent`.

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