Fork of Rendering Data using React and D3

100%

Fork of Rendering Data using React and D3

✓ Published0🌍 Public

Last edited Feb 6, 2023

Created on Feb 5, 2023

Forked from Rendering Data using React and D3

A horizontal bar chart visualizes UN population estimates for 2020, with each country’s bar length proportional to its population. The React app loads CSV data via D3’s `csv` utility, then uses D3’s `scaleBand` and `scaleLinear` to map countries and population values to SVG `rect` coordinates. The chart renders directly in SVG, with bars positioned by country name along the y-axis and population magnitude along the x-axis.

AI-generated description

Program that loads CSS named color data using D3 utilities and renders the data in a radial fill cycle using React.

MIT Licensed

Similar vizzes

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

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

94% 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

93% 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

93% match

Loading thumbnail…

Fork of Rendering data with React and D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population, rendered as SVG rectangles. It loads UN population data from a CSV file using `d3.csv`, then maps the data to React state with `useState` and `useEffect`. The chart uses `d3.scaleBand` for the y-axis country categories and `d3.scaleLinear` for the x-axis population values, with each bar’s width and position computed from these scales. React renders the SVG elements, while D3 handles data parsing and scaling.

YYibo Zhang

93% match

Loading thumbnail…

Fork of Rendering Data with React & D3

This example shows a bar chart of the ten most populous countries for 2020, using data loaded from a CSV file of UN population estimates. The visualization renders as a series of horizontal rectangles whose lengths correspond to each country’s population. Built with React for component structure and D3 utilities for data loading (`d3.csv`) and scaling (`scaleBand`, `scaleLinear`), the chart is drawn as an SVG. The code uses React hooks (`useState`, `useEffect`) to fetch and store the data, then maps it directly to `<rect>` elements.

Aalexanderjpark

93% match

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

93% match

Loading thumbnail…

Fork of Rendering Data with React & D3

This visualization displays a horizontal bar chart of 2020 population estimates for countries, rendered as SVG using React and D3 v5. It loads CSV data from a GitHub gist via D3’s `csv` utility, then maps the parsed data to `rect` elements. React handles the UI state and component structure, while D3’s `scaleBand` and `scaleLinear` position the bars, and `max` computes the domain. The visualization updates once the asynchronous data fetch completes, initially showing a loading message.

Rreactivicky

92% match