Fork of Fork of React & D3 Starter

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.

89% match

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 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.

87% 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.

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.

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.

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 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 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.