Skip to main content
SimilarExport ZIP
100%

Rendering Barchart with React & D3

✓ Published1🌍 Public
Rroc286
Last edited Mar 1, 2022
Created on Mar 1, 2022

A horizontal bar chart displays the top ten countries by 2020 population, loaded from a CSV file using D3's `csv` utility. React components render each bar as an SVG `rect` element, with D3's `scaleBand` and `scaleLinear` mapping country names to y-positions and population values to bar widths. The chart updates reactively when data loads, showing a "Loading..." message initially.

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…

Rendering Data with React & D3 - Bar Charts

A horizontal bar chart displays the top ten countries by their 2020 populations, loaded from a CSV file. The visualization uses React to construct SVG elements, while D3 utilities handle data loading and scaling: `d3.csv` fetches and parses the data, `d3.scaleBand` positions the y-axis country labels, and `d3.scaleLinear` maps population values to bar widths. The chart includes red gridlines and value labels along the x-axis.

BBetty
94% match
Loading thumbnail…

Rendering Data with React & D3

A horizontal bar chart displays the top ten countries by 2020 population, loaded from a CSV file and rendered as SVG rectangles. React handles UI state and DOM updates, while D3 utilities (d3.csv, scaleBand, scaleLinear, max) fetch and scale the data. The chart updates asynchronously after the CSV loads, with bars sized proportionally to each country's population value.

JJohn Jeevasaeyan
93% match
Loading thumbnail…

Rendering Data with React & D3 - barchart Basic

This example renders a horizontal bar chart of the top ten countries by 2020 population, sourced from a 2019 UN population CSV. The visualization combines React’s component-based state management with D3’s `csv`, `scaleBand`, and `scaleLinear` functions to map country names and population values to SVG rectangles. The `useState` and `useEffect` hooks asynchronously load and slice the data, while the categorical y-axis and linear x-axis position the bars within a 960-by-500 pixel viewport.

Kkeitheade
93% match
Loading thumbnail…

Rendering data with React using D3 - Bar Chart

A React application renders a horizontal bar chart of the top ten countries by population in 2020, with the data loaded from a CSV file. The chart uses React state to hold the data and D3 utilities to scale and position the bars. d3.scaleBand maps countries to y-coordinates, while d3.scaleLinear maps population values to bar widths, with the maximum population determining the scale domain. The SVG rectangles are generated directly through React's JSX mapping of the data array, and the chart updates when new data is loaded.

Mmaxthamt
92% match
Loading thumbnail…

rendering Data with React & D3

A bar chart displays the top ten countries by 2020 population, loaded from a CSV file using D3’s `csv` utility. React state manages the fetched data, rendering a static SVG with `rect` elements scaled by `scaleLinear` and `scaleBand`. The visualization demonstrates a minimal integration where React handles component updates and D3 computes scales and data parsing, with a loading indicator shown before data arrives.

Sseanowh
92% match
Loading thumbnail…

rendering data with react & D3

This example displays a horizontal bar chart of the top 10 countries by 2020 population, drawn as SVG rectangles. The visualization loads CSV data from a remote URL using D3’s `csv` utility, then React’s `useEffect` and `useState` manage the asynchronous data fetch and render the chart. D3’s `scaleBand` and `scaleLinear` map country names and population values to pixel coordinates, while React maps each data row to a `<rect>` element. The chart uses a minimal, unstyled SVG output with a large “Loading…” text before data arrives.

AALI Akbar SABZI
92% match
Loading thumbnail…

Rendering barchart with React & D3

This example renders a bar chart of the top 10 countries by 2020 population using React state to manage data loaded via D3’s `csv` utility. The visualization maps country names to vertical bands with `d3.scaleBand` and population values to horizontal bar lengths with `d3.scaleLinear`, drawing grid lines and rectangles as SVG elements. React hooks `useState` and `useEffect` trigger the asynchronous data fetch and re-render the chart once the CSV from a GitHub gist is parsed. The code leverages D3 v5 for scales and data loading while React handles component rendering.

FFarahnaz Wick
92% match
Loading thumbnail…

Rendering Bar Chart with React & D3

This example demonstrates a horizontal bar chart of the top ten most populous countries in 2020, using United Nations population data loaded via `d3.csv`. React manages the component state and renders SVG `<rect>` elements, while D3’s `scaleBand` and `scaleLinear` map country names and population values to pixel positions and widths. The chart updates asynchronously after the CSV fetch completes, showing a loading message until data arrives.

AAndre J Denais
92% match