Fork of React & D3 Starter

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Fork of React & D3 Starter

This example shows a summary of a laptop sales CSV file, displaying the file size, total number of rows, and columns fetched from a raw GitHub gist. The code uses D3 v7's `csvParse` method to parse the data, and then renders a simple static yellow triangle onto an SVG canvas appended to the HTML body. The user interface is built with React and D3's `select` API, using a minimal SVG polygon to provide a basic visual element alongside the textual data summary.

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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 React & D3 Starter

This example displays a simple summary of a dataset loaded from a CSV file, showing the file size in kilobytes, the number of rows, and the number of columns. It uses `d3.text` to fetch the remote CSV and `d3.csvParse` to parse it, while the results are written directly into HTML paragraphs. The page calculates the file size from the raw text length and accesses the parsed data's `length` and `columns` properties. It combines static HTML/CSS styling with the D3.js library for data ingestion and basic statistics.

Fork of React & D3 Starter

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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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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This example summarizes a study-focus dataset by fetching a CSV from a GitHub gist and displaying the file size, row count, and column count as plain text using React state and `d3.csvParse`. Below the summary, a static SVG renders a lightblue circle and a lightgreen rectangle, both with black outlines, to demonstrate basic SVG markup within a React component. The visualization uses `fetch` to load the data and `useEffect` to parse it, with styling handled by external CSS that centers the content in a bordered card.

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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.

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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.