Bar Chart With React and D3

100%

Bar Chart With React and D3

✓ Published1🌍 Public

Last edited Mar 4, 2021

Created on Mar 4, 2021

Forked from Rendering Data 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.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

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

96% 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

95% match

Loading thumbnail…

Making a Bar Chart with React & D3

This bar chart visualizes the top 10 most populous countries using United Nations World Population Prospects 2019 data, rendered with React and D3.js (v5). The chart displays horizontal bars ordered by population, with formatted tick labels (e.g., “1.4B”) and interactive tooltips showing exact values. D3’s scaleBand and scaleLinear handle axes and positioning, while React components (AxisBottom, AxisLeft, Marks) compose the SVG output. The bottom axis includes custom formatting via D3’s format API, and the styling uses the Poppins font.

MMauricio García Benítez

95% match

Loading thumbnail…

Bar Chart v1 w/ React & D3

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.

SSophia Cofone

94% match

Loading thumbnail…

Bar chart with D3.js

This bar chart displays the top 10 most populous countries for 2020, based on United Nations World Population Prospects 2019 data. The visualization uses D3.js v5 within a React framework, rendering bars as SVG rectangles. It includes animated interactions where hovering over a bar highlights it, displays its value, and shows the percentage difference compared to other countries. The chart features labeled axes for population and country names, with tooltips providing exact population figures via SVG `<title>` elements.

KKevin Raj

94% 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

94% match

Loading thumbnail…

Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019. The visualization uses React with hooks to fetch and process the CSV data, then renders SVG rectangles scaled by population values. The code employs d3.csv, scaleBand, and scaleLinear to position bars and create x-axis ticks, though no y-axis labels are drawn. A loading state shows "Loading..." via a pre element until the dataset is ready.

CChiedu Egbumokei Jr

94% match

Loading thumbnail…

Dataviz 6 - Bar chart with React and D3

A bar chart displays the top 10 most populous countries from the UN World Population Prospects 2019 dataset. The visualization shows horizontal bars whose lengths correspond to each country's 2020 population, rendered as SVG rectangles. React manages the component state, loading data via the `csv` function from D3 v5, while `scaleBand` and `scaleLinear` position the bars and map population values to widths. The chart intentionally omits axes, presenting only the ranked bars.

RRyAlpha

94% match