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This example presents a small dashboard that loads a CSV dataset, displays summary statistics (approximate file size, row count, and column count), and renders a simple bar-chart-like SVG picture. The page uses D3’s `csvParse` to read the data from a GitHub Gist, then updates the HTML stat cards and draws rectangles with `d3.select`’s `.join` API. The SVG bars are based purely on row index, not on data values, making the visualization a generic shape demo. The code is plain JavaScript within an HTML file, using D3 v7.

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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.

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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. 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.

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.

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This example summarizes a study-focus CSV dataset by displaying its file size, row count, and column count as text, accompanied by a simple decorative SVG containing a circle and a rectangle. It fetches a remote CSV using the Fetch API, parses it with `d3.csvParse`, and stores the computed metrics in React state via the `useEffect` hook. The interface is built with React components and renders both the summary and static SVG shapes as HTML and SVG elements.