Skip to main content
SimilarExport ZIP
100%

Fork of Rendering DATA with React & D3

✓ Published0🌍 Public
Ssinghjy
Last edited Mar 9, 2021
Created on Mar 9, 2021

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.

AI-generated description

Uses react to render the data A program that loads in data using d3 utilities and react state to keep track of our data

MIT Licensed

Similar vizzes

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
94% match
Loading thumbnail…

Fork of 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.

Ttrissentety
93% match
Loading thumbnail…

Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population from a UN dataset, loaded via `d3.csv`. React state manages the fetched data, while `d3.scaleBand` and `d3.scaleLinear` map country names and population values to SVG rectangles. The visualization renders with React’s declarative JSX, using `d3.max` for the domain and the `useEffect` hook to trigger the asynchronous data load. The bars update on data arrival, replacing a simple loading text.

BBubfield
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

This example visualizes United Nations population data for 2020 as a horizontal bar chart, showing the top 10 countries by population. The React application uses `useState` and `useEffect` to fetch the CSV data via D3's `csv` utility, then renders SVG rectangles positioned with `scaleBand` and `scaleLinear`. React and ReactDOM handle the component lifecycle and DOM rendering, while D3 provides data parsing, scaling, and maximum value calculation. The visualization updates dynamically once the asynchronous data loading completes.

CChris Knight
93% 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
93% match
Loading thumbnail…

Fork of Rendering Data with React 2

This example displays a horizontal bar chart of population data for the top 10 countries in 2020, sourced from a CSV file of UN population estimates. It uses React hooks (useState, useEffect, useCallback) to manage data loading and rendering, while D3 v5 utilities (d3.csv, d3.scaleBand, d3.scaleLinear, d3.max) handle data parsing and scale creation. The visualization renders axes, tick labels, and bars as SVG elements within a React component, with D3 providing the scaling logic and React managing the DOM updates.

Vvijaytayal
93% match