Fork of React & D3 Starter

Fork of Fork of React & D3 Starter

This example loads a CSV dataset from a GitHub gist and summarizes its file size, row count, and column count on a dashboard card. It then renders a simple SVG visualization of ten horizontal bars with row labels, using D3 v7’s `d3.csvParse` and selection joins via `join("rect")` and `join("text")`. The bars are based on row index rather than data values, acting as a generic placeholder. The code runs in a plain HTML page with inline CSS and JavaScript, using `fetch` to retrieve the data.

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Fork of React & D3 Starter

This example loads a CSV dataset from a GitHub gist and presents a simple summary of its structure, including file size, row count, and column count, within a styled card layout. It then renders a minimal SVG visualization of bars representing the first ten rows of the data, using D3’s `csvParse` and basic selection/join methods (`selectAll`, `join`, `attr`). The page is built with plain HTML and JavaScript, relying on the D3 v7 library for data parsing and SVG manipulation, while the layout and styling are handled with inline CSS.

95% match

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This example demonstrates data loading and basic summary statistics using D3.js within an HTML page. It fetches a remote CSV file, displays the file size, row count, and column count, and generates a simple SVG bar chart representing the first ten rows. The visualization uses D3's `csvParse` method to parse the dataset and `select`/`selectAll`/`join` APIs to create and style the bars and labels. Minimal styling and layout are achieved with plain CSS.

94% match

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This example loads a CSV dataset of study focus logs via `fetch` and parses it with `d3.csvParse`. It displays summary statistics including approximate file size, row count, and column count, then renders a simple SVG visualization with rectangular bars whose widths increment by row index and corresponding row labels. The page also shows the dataset URL and uses D3 v7 selections with `join` to bind data and create SVG elements.

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This example summarizes a study focus dataset by displaying its file size, row count, and column count in a styled React interface. The app fetches a remote CSV file from a GitHub gist and uses D3’s `csvParse` method to parse the text, then presents the metrics alongside a simple SVG containing a circle and rectangle. The visualization relies on React’s state management (`useState`) and `fetch` API, with D3 v7 loaded via script, and renders text and shapes using standard SVG markup.

Fork of Fork of React & D3 Starter

This example demonstrates how to load and summarize a CSV dataset using D3.js within a React application. It displays file size, row count, and column names by fetching the raw CSV text and parsing it with `d3.csvParse`. The page also renders basic SVG shapes—a circle, rectangle, line, and text—to illustrate static SVG output. The React component uses the `useRef` and `useEffect` hooks alongside `d3.select` to update the DOM.

Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of React & D3 Starter

This example summarizes a study focus dataset by displaying its file size, row count, and column count. The React app uses `fetch` to retrieve a CSV file and `d3.csvParse` to parse it, then renders the summary stats in styled HTML elements alongside simple SVG shapes—a circle and a rectangle—for visual interest. The code mixes a modern React component with an older vanilla HTML/D3 script in `index.html`, both relying on D3 v7 for data processing.

Fork of Fork of Fork of React & D3 Starter

This example fetches a CSV dataset about study focus logs and displays summary statistics for file size, row count, and column count. It renders a simple SVG visualization with horizontal bars representing the first ten rows of data. The code uses D3 v7's `csvParse` and `selectAll`/`join` methods, along with the Fetch API, to load and display the dataset. The visualization appears inside a pink card with a dashed-border SVG container.