Skip to main content
SimilarExport ZIP
100%

Bar Chart v1 w/ React & D3

✓ Published1🌍 Public
SSophia Cofone
Last edited Jun 29, 2022
Created on May 20, 2022

This visualization displays a bar chart of the top 10 most populous countries in 2020, using data from the UN Population dataset. Bars extend horizontally from the left, with each bar's length proportional to the country's population, and countries labeled along the vertical axis. The example integrates React 16.9.0 for the user interface and declarative rendering, while D3 v5.11.0 utilities (`csv`, `scaleBand`, `scaleLinear`, `max`) fetch the CSV data and compute the scales. Both libraries—React for component structure and D3 for data processing—output an SVG graphic.

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…

Bar Chart - React, D3

A bar chart displays the top 10 most populous countries in 2020, using horizontal bars sorted by population. The visualization is built with React components and D3 scales (`scaleBand`, `scaleLinear`), rendering SVG rectangles for marks and custom axis components. D3’s `csv` loader fetches United Nations World Population Prospects 2019 data, with population formatted in billions. Tooltips show exact values via SVG `<title>` elements, while axes and labels are styled with CSS.

NNelson M
95% match
Loading thumbnail…

Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars using React and D3 v5. The chart lacks axes, displaying only labeled bars with lengths proportional to each country’s 2020 population estimate. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via `d3.csv`. The code uses `d3.scaleBand` for vertical positioning, `d3.scaleLinear` for bar widths, and renders SVG elements within a React component using hooks.

YYohR
95% match
Loading thumbnail…

Bar Chart With React and D3

This interactive bar chart displays the top 10 most populous countries using 2019 UN World Population Prospects data. The visualization integrates React for state management and component rendering with D3.js (v5) for data loading, scaling, and SVG element generation. D3's `scaleBand` and `scaleLinear` position the bars, while React's `useEffect` hook asynchronously fetches and processes the CSV data. The chart also includes D3-derived tick marks and axis labels, creating a fully labeled though minimalist visualization.

AAhmad Butt
94% match
Loading thumbnail…

Bar Chart w/ D3 And React

This example displays a horizontal bar chart of the ten most populous countries for 2020, using data from a UN Population CSV loaded via `d3.csv`. The React component manages the data with `useState` and `useEffect`, while D3’s `scaleBand` and `scaleLinear` compute the bar positions and widths. Each bar is rendered as an SVG `rect` element, with the chart sized at 960 by 500 pixels.

AAndres de la Garza
94% match
Loading thumbnail…

Bar Chart with react and d3

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019, with a horizontal layout and axes for comparison. The visualization is built with React and D3 v5, rendering SVG elements via React components. It uses `scaleBand` for the categorical country axis and `scaleLinear` for the population scale, with formatted tick labels converting billions to “B” notation. The chart includes a bottom axis and left labels, styled with the Nunito font, and omits gridlines beyond the axis ticks.

MMohammed Banani | MbDev
94% match
Loading thumbnail…

Bar Chart

This bar chart displays the top 10 most populous countries based on 2020 UN Population data, with horizontal bars showing each country’s population count. The visualization uses React with D3 v5’s `scaleBand` and `scaleLinear` to map country names and population values to screen coordinates. SVG `<rect>` elements render the bars, while custom axis components generate tick marks and labels using D3’s `ticks()` and `format()` APIs, with population values formatted using the SI prefix format (e.g., “1.4B”).

Nnghosh319
94% match
Loading thumbnail…

Bar Chart with React & D3

This visualization displays the ten most populous countries in 2020 as a horizontal bar chart, where bar length encodes population size. The code uses React hooks (useState, useEffect, useCallback) to manage asynchronous data loading via d3.csv, which fetches UN population data from a GitHub gist. D3 scales (scaleBand for countries, scaleLinear for population totals) position the SVG rectangles rendered as React components. While the HTML loads React and D3 from CDNs, the visible chart omits axes, labels, and color, showing only raw bars against a white background.

SSarah Elkeurti
94% match
Loading thumbnail…

Bar Chart With D3

This example shows a horizontal bar chart of the top ten most populous countries in 2020, using UN population data loaded from a CSV file. React state manages the fetched data, while D3’s `scaleBand` and `scaleLinear` map country names and population values to SVG rectangles. The bars render from left to right, with no axes or labels. The code uses `d3.csv` for data loading and React functional components with the `useState` and `useEffect` hooks to trigger and store the asynchronous data fetch.

Ffjvoris
94% match