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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.

90% match

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

This example displays a summary of a study focus dataset, showing the file size in kilobytes, row count, and column count from a remote CSV file. The React app uses `d3.csvParse` to parse the fetched data and `useState` and `useEffect` hooks to manage the asynchronous loading process. It renders the metrics as text alongside a static SVG containing a lightblue circle and a lightgreen rectangle, demonstrating basic SVG shape rendering within a styled card layout.

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

This example displays a dataset summary for a study focus log, showing the file size, row count, and column count in a styled HTML container. It loads a CSV file from a GitHub gist using D3 v7’s `d3.text` and `d3.csvParse` functions, then updates the DOM with the computed statistics. The React-based shell, using `ReactDOM.createRoot` and `useEffect`, integrates a D3 selection to render a simple message, though the primary data display relies on vanilla JavaScript embedded within the HTML file.

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.

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

This example displays a study focus dataset summary, showing the file size, row count, and column count from a remote CSV file. It uses React’s `useState` and `useEffect` hooks to fetch the data and `d3.csvParse` to parse the CSV text. The visualization renders a static SVG containing a circle and rectangle with light fills and black strokes, alongside the computed metrics. The code logs the file size, rows, and columns to the browser console.

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

This example displays a summary of a study-focus dataset, presenting the file size, row count, and column count. It retrieves a CSV file from a remote GitHub gist and parses it using `d3.text` and `d3.csvParse`. The React framework, with `index.jsx` utilizing `useRef` and `useEffect`, manages the page layout, while the embedded HTML script uses the `d3.v7` library to fetch and process the data.

88% match

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.

88% match

Fork of Fork of Fork of React & D3 Starter

This example displays a simple dataset summary for an ICE-5 study focus log, showing the file size, row count, and column count. It loads a CSV file from a GitHub gist using d3.text and parses it with d3.csvParse, then updates HTML paragraph elements with the computed metrics. The React component uses the useRef and useEffect hooks alongside d3.select to render a static message. The visualization provides a quick overview of the data structure rather than a graphical chart, serving as a basic data-loading demonstration.