Skip to main content
SimilarExport ZIP
100%

Fork of Rendering Data with React & D3

✓ Published0🌍 Public
Aalfredwang0707
Last edited May 11, 2021
Created on May 11, 2021

This example visualizes United Nations population data from 2019 using React and D3. It loads the CSV dataset with `d3.csv` and renders the country values as a radial burst of colored arcs in an SVG. The code constructs a band scale with `scaleBand` for positioning, while commented-out sections show how `arc` and `pie` would compute angular segments, and a scaleLinear is prepared for potential x-axis mapping. React’s `useState` and `useEffect` hooks manage asynchronous data loading, displaying a loading message until the dataset arrives.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data as a radial burst!

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Rendering Data with React & D3

This example visualizes United Nations population data for 2020 as a simple bar chart rendered with SVG. It loads a CSV file using D3’s `csv` utility, then uses React components to map each country to a rectangle, with a band scale (`scaleBand`) positioning rows vertically. The code also imports `arc` and `pie` utilities, though the main rendering path uses plain React elements rather than D3’s shape generators.

EEevikettu
94% match
Loading thumbnail…

Fork of Rendering Data with React & D3

This example visualizes United Nations population data from 2019 as a bar chart, with each country represented by a rectangle whose height is set by a D3 `scaleBand` and width by a `scaleLinear`. It uses React hooks (`useState`, `useEffect`) to load the CSV via D3’s `csv` utility and render SVG elements. The code also includes commented-out logic for manually computing arcs with D3’s `arc` without `d3.pie`, though the active chart does not use that path.

VVenkat
94% match
Loading thumbnail…

Fork of Rendering Data with React & D3

This visualization displays United Nations population estimates for 2020 as a horizontal bar chart, with each bar representing a country’s population. The chart is built using React for component rendering and D3 utilities for data loading and scaling, specifically `d3.csv`, `d3.scaleBand`, and `d3.scaleLinear`. The code fetches CSV data from a GitHub gist URL, parses the population column, and renders SVG rectangles whose widths correspond to population values. The visualization updates reactively as data loads, showing a loading message until the dataset arrives.

HHaris Abdullah
92% match
Loading thumbnail…

Fork of Rendering Data with React & D3

This example loads UN population data from a CSV file using D3’s `csv` utility and displays it as a series of blue rectangles in an SVG, with each rectangle’s height proportional to the data row index. The visualization is built with React, which conditionally renders a loading message before mapping the data to `<rect>` elements. The code includes commented-out logic for computing a radial burst using D3’s `pie` and `arc` functions, though the active rendering uses a simple bar-like layout.

Jjasonamey
91% match
Loading thumbnail…

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
91% match
Loading thumbnail…

Fork of Rendering DATA with React & D3

This example shows a horizontal bar chart of United Nations population data for 2020, with each country represented as a rectangle whose width corresponds to its population. The visualization uses React state management to load and store the dataset via `useState` and `useEffect`, while D3 v6 utilities such as `csv`, `scaleBand`, `scaleLinear`, and `max` handle data parsing and scaling. The bars are rendered as SVG `<rect>` elements, mapped from the data array using React's declarative JSX syntax. A loading state displays "Loading.." until the data arrives.

Ssinghjy
91% match
Loading thumbnail…

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
91% match
Loading thumbnail…

Fork of Fork of Rendering Data with React & D3

This visualization displays UN population data for 2020 as a horizontal bar chart, where each bar’s length corresponds to a country’s population. The chart is built with React and rendered as SVG, using D3’s `csv` loader, `scaleBand` for the y-axis, and `scaleLinear` for the x-axis. The example demonstrates how D3 utilities handle data loading and scaling, while React manages the component state and maps each data row to an SVG `<rect>`.

AAbin
91% match