Fork of Rendering Data with React & D3

Fork of Rendering Data with React & D3

This example shows a bar chart of global video game sales by genre, with bars rendered as SVG rectangles whose heights are scaled by sales figures. The code loads CSV data using `d3.csv` and manages state with React hooks (`useState`, `useEffect`), while `d3.scaleBand` and `d3.scaleLinear` map genres and sales values to pixel positions. The chart is drawn entirely through React components that return SVG elements, demonstrating a hybrid approach where D3 handles data processing and scales, while React handles the DOM rendering.

RRED98310

Fork of Rendering Data with React & D3

This example renders a bar chart of population data for U.S. states and territories using React for DOM manipulation and D3 for scales. It loads a CSV file via `d3.csv`, then maps each row to an SVG `<rect>` whose vertical position and height come from `d3.scaleBand`, while the width uses `d3.scaleLinear`. The visualization demonstrates a hybrid approach where React handles component lifecycle and state, while D3 provides the data parsing and scaling utilities.

Rrammy81

Fork of Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of student marks, ranking the top 10 students by their scores. The visualization uses React hooks (`useState`, `useEffect`) to load CSV data via `d3.csv`, then renders SVG rectangles scaled with `d3.scaleBand` and `d3.scaleLinear`. Axes are drawn manually using mapped tick values rather than D3 axis generators, with React creating the SVG elements. The chart updates reactively as data loads, displaying a loading message until the CSV arrives from the GitHub gist URL.

RRahulSai05

Fork of E20 Fork of Rendering Data with React & D3

A bar chart displays the volume of trips for various regions using React and D3. The visualization loads CSV data from a GitHub gist via `d3.csv`, then renders SVG rectangles with React components. The x-axis scale uses `d3.scaleLinear` to map trip volumes to pixel widths, while the y-axis uses `d3.scaleBand` to position each region’s bar. The chart is rendered inside a React app that manages data loading with state hooks and displays a loading message until the data arrives.

VVanessa

Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of 2019 population data for various countries, with bar lengths proportional to each country's population and bars stacked vertically without spacing. The visualization is built using React and D3 v5, where D3’s `scaleBand` and `scaleLinear` map country names to y-coordinates and population values to bar widths within an SVG canvas. Data is loaded asynchronously from a CSV file via D3’s `csv` function, and the React component uses `useEffect` and `useState` to fetch and render the chart once the data arrives.

Mmikekslv

Fork of Rendering Data with React & D3

This example renders a horizontal bar chart of UN population data for 2020 using React and D3 v5. It loads the CSV file with `d3.csv`, parses the population column, and stores the result in React state via the `useState` and `useEffect` hooks. The visualization uses `scaleBand` and `scaleLinear` to map countries and populations to SVG `rect` elements, with React’s declarative rendering driving the SVG output. While loading, it displays a large “Loading…” message before the chart appears.

DDeaxNG

Fork of Rendering Data with React & D3

This example loads UN population data from 2019 as CSV using D3’s `csv` utility, then renders the countries as vertical bars in an SVG via React components. The code defines both a `scaleBand` for country positioning and a `scaleLinear` for value mapping, but leaves the bar widths incomplete, so the visualization is unfinished. It uses React hooks like `useState` and `useEffect` to manage asynchronous data fetching and rendering, demonstrating a React-D3 integration pattern with a production build of both libraries.

Eeleshaky

Fork of Rendering Data with React & D3

This example displays CSS named colors as a horizontal stacked bar chart, where each color appears as a thin stripe in sequence. The visualization uses React to manage component state and rendering, while D3’s `csv` utility loads the color data from a remote GitHub gist. Data is fetched asynchronously with React’s `useEffect` and `useState` hooks, and the hex color values directly set each stripe’s background color. The code also includes commented-out logic for computing radial arcs using D3’s `arc` and `pie` functions, though the active rendering uses simple divs.

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