Skip to main content
SimilarExport ZIP
100%

Rendering data with React using D3 - Bar Chart

✓ Published1🌍 Public
Mmaxthamt
Last edited Mar 13, 2021
Created on Mar 12, 2021

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.

AI-generated description

A program that uses React to render some data about CSS named colors using D3 utilities and uses React state to keep track of the data.

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
96% 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
95% match
Loading thumbnail…

Rendering Data with React

This example shows a bar chart of the top 10 countries by population in 2020, rendered as SVG elements via React. The underlying CSV data is fetched and parsed with D3’s `csv` utility, then scaled using `scaleBand` and `scaleLinear`. React’s `useEffect` and `useState` manage asynchronous data loading, while `ReactDOM.render` mounts the app. Each bar’s height and width are derived from D3’s `max` and scale functions, mapping country names and population values to screen coordinates.

Kkrandslam
94% match
Loading thumbnail…

Rendering data with React & D3

This example shows a bar chart of the top 10 countries by 2020 population, rendered as SVG rectangles with React managing component state while D3 handles data loading and scales. The code loads CSV data via `d3.csv`, converts population values to numbers, and uses `scaleBand` for country categories and `scaleLinear` for population values. React’s `useState` and `useEffect` hooks trigger the initial data fetch, and the chart renders only after data arrives, showing a loading message beforehand.

EEthan Pierce
94% 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
94% match
Loading thumbnail…

Rendering Data With React & D3

A horizontal bar chart displays the top ten countries by 2020 population, using a CSV of UN population data loaded with D3's `csv` utility. React manages the application state with `useState` and `useEffect`, rendering SVG `<rect>` elements for each bar. The chart uses `scaleBand` for country categories on the y-axis and `scaleLinear` for population values on the x-axis, with a loading message shown before data arrives.

AAngel Lam
93% match
Loading thumbnail…

Bar Chart Rendering Data with React and D3

This example visualizes the top 10 most populous countries as horizontal bars, with each bar’s length proportional to its 2020 population estimate from the United Nations World Population Prospects. The React component manages state for the loaded data, while D3’s `scaleBand` positions countries along the y-axis and `scaleLinear` maps population values to bar widths on the x-axis. Data is fetched as CSV via `d3.csv`, and the chart renders as SVG `<rect>` elements within a React-rendered `<svg>` container.

AAriana
93% match
Loading thumbnail…

Rendering Data with React & D3

This example uses React and D3 to render a horizontal bar chart of the top 10 most populated countries for 2020, sourced from a CSV file of UN population data. It fetches the data with `d3.csv`, scales bars with `d3.scaleBand` and `d3.scaleLinear`, and maps each country to an SVG `<rect>` element via React components. The chart displays population counts as bar widths, with a "Loading..." state shown before data arrives.

GGul Jamal Zim
93% match